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Metamaterial shaft with a low Poisson’s ratio lattice structure for torsional vibration isolation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-16 Yangjun Wu, Hongliang Yao, Xuangong Li, Shendong Han
To suppress the torsional vibration of shafts, a metamaterial structure made up of the lattice structure with a low Poisson’s ratio is presented in this paper. Firstly, to improve the efficiency, the homogeneous model is established to replace the lattice structure. Its homogenized properties are estimated using the asymptotic homogenization (AH) method. Subsequently, through the Bragg scattering (BS)
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Optimising wellbore annular leakage detection and diagnosis model: A signal feature enhancement and hybrid intelligent optimised LSSVM approach Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-16 Zhongxi Zhu, Hong Liu, Wanneng Lei, Youqiang Xue, Changjian Xiao
The occurrence of leakage in the wellbore annulus can severely impact drilling operations. To address well leakage detection, an improved diagnostic model is proposed, optimising three aspects: signal processing, feature selection, and model optimisation. The model combines the RIME-ICEEMDAN-SWT signal processing method with SAPSO-GWO-LSSVM for diagnosis. First, the Rime Optimization Algorithm (RIME)
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An adaptive active vibration control for flexible beam systems under unknown deterministic disturbances Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-16 Fanfan Qian, Haichun Ding, Tianqi Liu, Zhizheng Wu, Xuping Zhang, Azhar Iqbal
An adaptive active vibration control approach has been proposed for flexible beam systems to reject unknown deterministic disturbance in this paper. In the proposed feedback control scheme, a robust controller is firstly developed to stabilize the mode-truncated inner-loop system with the properly formulated uncertain transfer functions. Subsequently, the Youla parameters are augmented with the base
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Adaptive contact-force control and vibration suppression for multi flexible manipulators with unknown control directions and time-varying actuator faults Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-16 Xinyang Ma, Jinkun Liu
This article proposes an adaptive control scheme for multi-flexible manipulators to address the challenges of unknown control directions and time-varying actuator faults, then realize contact force control and vibration suppression. Unlike existing methods that require identical control directions, the proposed approach expands application scope to multi-agent systems with nonidentical control directions
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Amplitude-saturated control of underactuated double-pendulum tower cranes: Design and experiments Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-16 Peng Huang, Zhongcai Zhang, Yang Gao
In practical industrial transportation applications, tower cranes play a crucial role. However, the existing control methods for tower cranes often overlook the double-pendulum effect or only consider the linearized double-pendulum dynamic model. To address these issues, for double-pendulum tower cranes, this paper proposes an amplitude-saturated nonlinear control method without velocity measurement
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Extraction of second-order cyclostationary signal from acoustic array measurements using a time-varying periodic variance model with variational Bayesian inference Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-16 Ran Wang, Rujie Ji, Liang Yu, Weikang Jiang
Acoustic array measurements are widely employed for noise analysis, noise control, and consequently for low-noise design of product. In the presence of rotating machinery (e.g., rotors), acoustic signals typically include a mix of tonal and broadband components as well as background noise. The broadband components characterized by their periodic modulation can be effectively modeled as a second-order
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Fast evaluation of central moments for non-Gaussian random loads in vibration fatigue Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-15 M. Palmieri, J. Slavič, F. Cianetti
In vibration fatigue analysis, spectral methods are used to evaluate the fatigue damage of structures experiencing random vibrations. Spectral methods fail under non-Gaussian and non-stationary loading conditions and various solutions have been proposed. Correction coefficients are promising and depend on the kurtosis and skewness of the system’s response, which requires extensive time-domain analyses
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Dual disentanglement domain generalization method for rotating Machinery fault diagnosis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-14 Guowei Zhang, Xianguang Kong, Hongbo Ma, Qibin Wang, Jingli Du, Jinrui Wang
The objective of domain generalization fault diagnosis is to develop a robust model that can generalize to unseen domains. This makes it a highly ambitious and challenging task. However, most current methods rely on domain labels to extract domain-invariant features and do not consider the negative impact of the presence of class-irrelevant features in domain-invariant features on generalization. Therefore
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Collaborative multi-objective design strategy of number and placement for structural vibration suppression components with correlated and bounded uncertainties Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-14 Qingshuang Wang, Chen Yang, Guorui Yuan, Ziyao Fan
The optimization of structural vibration suppression components is of great significance to the active control of vibration and sound. For the active vibration control system with correlated and bounded uncertainty, this paper proposes a collaborative design strategy for the number and placement of structural vibration suppression components. The uncertainty is quantified as an interval parameter.
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The design of spatial compliant mechanisms with distributed multi-stability based on post-buckled cylindrical compliant beams Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-14 Haitong Liang, Zhidi Yang, Liwen Zhang, Bin Luo, Hongguang Liu, Li Li, Jonathan B. Hopkins, Guangbo Hao
Multi-stable compliant mechanisms (MSCMs) feature multiple stable structural configurations. The majority of MSCMs can only transfer from one stable configuration to another via a single transferring path in a fixed sequence, which is defined as hierarchical multi-stability. This study introduces the distributed concept from the computing science to the field of MSCMs. The compliant mechanism with
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A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-13 Zhilie Gao, Ni Chen, Liang Li
Monitoring tool wear is vital in the cutting process as it guarantees the quality production of intricate aerospace components and boosts manufacturing efficiency. However, traditional monitoring methods may fall short when confronted with varying cutting conditions and a scarcity of data. To address this, the paper introduces an innovative algorithm known as MKWADTL (Model and Knowledge-Guided Multi-Expert
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Towards high-speed elevator fault diagnosis: A ParallelGraphNet driven multi-sensor optimization selection method Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-13 Zili Wang, Huang Zhang, Lemiao Qiu, Shuyou Zhang, Jin Qian, Feifan Xiang, Zhiwei Pan, Jianrong Tan
Due to the complexity of the high-speed elevator operation system, a single sensor may not fully capture its fault characteristics comprehensively. Moreover, manual sensor placement limits fault feature reflection and fails to exploit sensor spatial advantages, hindering further development. To address these limitations, an optimization method for selecting the positions of multiple sensors is proposed
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Design of annular metastructures vibration suppression in rotating machinery Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-13 Jie Li, Kelong Liu, Xiao Kang, Xiao Wang
This paper introduces an innovative annular metastructure (AM) designed to transfer the vibration transmission pass from the radial direction to the circumferential direction, which can effectively elongate the vibration transmission pass to include more local resonance vibration mitigation cell structures and overcome the band gap prediction problem due to the non-translation periodicity of the traditional
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A mechanism-based sample generation method utilizing morphological analysis and dynamic modeling for online monitoring of rotor systems Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-13 Zepeng Ma, Lei Fu, Dapeng Tan, Jia Liu, Fang Xu, Libin Zhang
Real-time monitoring is essential for mechanical rotor systems, but obtaining sufficient labeled samples to train intelligent models poses significant challenges in real-world scenarios. Moreover, existing data-driven sample generation techniques often fail to capture the physics of fault development, resulting in biased or inaccurate samples. To address this, a sample generation method based on fault
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A multidirectional magnetic flux leakage detection based crack 3-D profile reconstruction method Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-13 Shengping Li, Libing Bai, Chao Ren, Xu Zhang, Jiangshan Ai, Jie Zhang
Magnetic flux leakage detection is a widely used method for non-destructive testing of ferromagnetic materials. In the research field, the profile reconstruction of defects is the focus. Due to the small width and complex morphology of cracks, it is easy to have signals missing and distortion based on unidirectional magnetic field excitation. Such issues make it difficult to reconstruct the three-dimensional
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High load-bearing plate-type metastructure for ultrabroadband sound insulation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-12 Heng Ren, Gaoge Liang, Quanxing Liu, Yong Xiao
Effective control of low-frequency noise has always been a global challenge. The emergence of sound insulating acoustic metamaterials provides a new approach to break the limitations of mass law at low frequencies. However, the practical application of metamaterials is limited by the challenge of balancing the characteristics of efficient low-frequency sound insulation and high load-bearing capacities
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Development of an anti-vibration cutting tool combining the lattice structures infill with damping particles Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-12 Yun Yang, Hao-Lin Liu, Jia-Wei Yuan, Wei-Long Kong, Min Wan, Wei-Hong Zhang
The damping performance of cutting tools is crucial for mitigating vibrations during the machining of difficult-to-cut materials that experience high cutting forces. Existing anti-vibration cutting tools typically utilize either the dynamic absorber effect or the energy dissipation effect to enhance damping performance. This paper introduces a novel design of anti-vibration cutting tools that combines
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Bio-inspired structures for energy harvesting self-powered sensing and smart monitoring Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-11 Yingxuan Cui, Hongchun Luo, Tao Yang, Weiyang Qin, Xingjian Jing
In recent years, with the advancements in the Internet of Things (IoT) and wireless networks, various bioinspired energy harvesters and self-powered sensors have been utilized in intelligent monitoring systems to enhance environmental adaptability, reduce energy consumption, and minimize maintenance costs. Most of these systems draw inspiration from the nonlinear characteristics found in biological
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Theoretical analysis and experimental research on control performance of active tuned liquid damper Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-11 Hao-ding Sun, Hao-xiang He, Yang Cheng, Xiao-jian Gao
Aiming at the shortcomings of the damping performance of the traditional tuned liquid damper (TLD), a damping technology scheme that organically combines the TLD with the active control device is proposed to form an active tuned liquid damper (ATLD) based on the sliding mode control algorithm. Based on the intensive analysis of ATLD damping characteristics, the ATLD-single degree of freedom structural
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Phase-based motion analysis for high-precision measurement of bridge deflection using drone imagery Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-11 Jiaxing Ye, Shien Ri
Recent advancements in unmanned aerial vehicles (drones) technology have significantly broadened the avenue for enhancing the ability to perform precise deflection measurements for bridges using aerial imagery. Utilizing drones for such purposes offers numerous advantages, such as enabling access to hard-to-reach areas, superior cost efficiency, a simplified process in onsite inspection preparation
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Simultaneous measurement of thickness and bulk wave velocities of thin plates using laser-excited local ultrasonic resonances Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-10 Yehai LI, Zhengyue GUO, Yi HE, Kai WANG, Zhongqing SU, Shifeng GUO
Ultrasonic characterization techniques have been widely used for plates or plate-like structures in industrial applications and research development. Complex real situations pose challenges to the existing methods, such as in-situ measurement for fast and in-service evaluation, simultaneous determination of thickness and wave velocity when both variables are uncertain, multi-mode characterization for
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Optimized design of auxetic substrates for enhanced electric power output in piezoelectric composites Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-10 Han Yan, Yi Zhang, Weizhong Jiang, Wan Hong, Yuanlong Wang, Yimin Xie, Jingbo Sun, Xin Ren
Auxetics, characterized by their unique deformation behavior, possess the potential to improve the electric power output of piezoelectric composites utilized in energy harvesting applications. This study investigates the effects of different two-dimensional auxetic substrates on piezoelectric composites and assesses the suitable environments for each type of auxetic piezoelectric composite. Additionally
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Repetitive transient impact detection and its application in cross-machine fault detection of rolling bearings Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-08 Xin Kang, Junsheng Cheng, Yu Yang, Feng Liu
This paper aims to develop a rolling bearing fault detection method that can be directly applied to unseen domains, addressing the limitations of current transfer learning methods, include the dependency on target domain data for domain adaptation methods and the lack of interpretability for domain generalization methods. Inspired by the intrinsic indicator of rolling bearing fault, i.e, repetitive
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Multi-channel adjoint least mean square algorithm with momentum factor applied on active noise control Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-08 Xiaoyi Shen, Yu Guo, Junwei Ji, Dongyuan Shi, Woon-Seng Gan
Active noise control (ANC) is extensively utilized to attenuate unwanted environmental noise, creating a more conducive environment for work and daily activities. Traditional approaches face challenges when scaled to larger areas using multi-channel ANC (McANC) due to escalating computational burden and slower convergence speeds as channel numbers increase. To overcome these limitations, we introduce
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Phononic crystals with non-quantized Zak phases for controlling interface state frequencies Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-08 Seongmin Park, Wonju Jeon
Topological interface and edge states have been extensively studied in phononic and photonic crystals with Zak phases quantized at 0 or π. In this work, we design phononic crystals with non-quantized Zak phases ranging from −0.45π to 0.45π by deliberately breaking the symmetry of the unit cell. Through adjustments of the non-quantized Zak phase, we control the phases of waves reflected from the phononic
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Remaining useful life prediction for stochastic deteriorating Devices: A direct approach via inverse degradation modeling Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-07 Tianmei Li, Zhenyu Cai, Zhaoju Zeng, Zhengxin Zhang, Xiaosheng Si
Remaining useful life (RUL) prediction has been extensively recognized for its fundamental and significant value in enhancing safety, improving reliability, and reducing cost for industrial devices. The advancement of condition monitoring (CM) for degrading devices stimulates the development and prosperity of data-driven prognosis approach for RUL prediction, among which the stochastic-data-driven
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Performance evaluation of elevators using a novel hierarchical softmax regression model Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-07 Dapeng Niu, Minghao Yang, Mingxing Jia, Hongli Jin, Gang Luo
Elevator performance evaluation plays a guiding role in improving passenger experience and directing the maintenance work. Traditional elevator performance evaluation studies mainly depend on defect data or pertinent norms while ignoring the operation performance. In order to solve these issues, a new method for performance evaluation using hierarchical softmax regression (HSR) based on the operating
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A Lock-In thermography based post-processing scheme for the detection of sub-surface rivet-related defects in aircraft structures Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-07 Haris Ali Khan, Shahab Uddin, Sharjeel Salik, Ali Javaid, Talha Ali Khan, Zia Ul Islam
This research is focused on developing a novel Lock-In Thermography-based scanning system to detect subsurface defects in aircraft rivets. The proposed system included a customized thermographic device consisting of a thermal camera, heating source, synchronized control circuitry, and post-processing software utilizing the Discrete Wavelet Transform technique, augmented by spatial gradient and mean
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Study on developing predicted system model of cutting-edge trajectory for micro-milling process based on tool runout error, chip thickness and force signal Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-07 Yao Sun, Yirong Sun, Yiming Huang, Siqian Gong, Mingsheng Sun, Ming Liu
The cutting-edge trajectory of micro end mills directly affects machining stability, surface quality and tool wear involved in micro milling process. However, the size effect and geometric characteristics of micro end mills make its cutting-edge trace diverge markedly from the traditional milling cutter paths. The cutting-edge trajectory prediction system model is specifically developed for a two-edged
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Fault detection and monitoring using a data-driven information-based strategy: Method, theory, and application Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-07 Camilo Ramírez, Jorge F. Silva, Ferhat Tamssaouet, Tomás Rojas, Marcos E. Orchard
The ability to detect when a system undergoes an incipient fault is of paramount importance in preventing a critical failure. Classic methods for fault detection – including model-based and data-driven approaches – rely on thresholding error statistics or simple input-residual dependencies but face difficulties with non-linear or non-Gaussian systems. Behavioral methods – e.g., those relying on digital
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Physics-based deep learning framework for Terahertz thickness measurement of thermal barrier coatings with variable refractive index Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-06 Fengshan Sun, Binghua Cao, Mengbao Fan, Lin Liu
Accurate terahertz (THz) thickness measurement of topcoat in thermal barrier coatings remains a challenge due to the change of refractive index from uneven microstructures and temperature variations. Here, a novel physics-based deep learning framework with original sparse features is proposed to measure the topcoat thickness in an accurate and low-cost manner. Firstly, the pores in the topcoat causes
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Zero-shot pipeline fault detection using percussion method and multi-attribute learning model Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-06 Longguang Peng, Wenjie Huang, Jicheng Zhang, Guofeng Du
In recent years, the machine learning (ML)-based percussion method has gained considerable attention as a cost-effective and user-friendly non-destructive testing (NDT) technique. However, traditional ML classification methods fail to identify previously unseen fault levels that are not included in the training dataset, thereby limiting their practical applicability. This paper proposes a zero-shot
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Mixed time-frequency-domain method for nonlinear hybrid floating breakwater-WEC Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-06 Pengcheng Li, Haiheng Zhang, Xin Zhao, Huaqing Jin, Jun Ding, Daolin Xu
Ocean waves represent a vast and renewable resource that is prevalent across the globe. However, the relentless erosion of marine equipment and coastal structures poses an ongoing challenge to safety. The integration of a floating breakwater with a wave energy converter (FB-WEC) offers a dual solution that addresses both wave protection and energy harnessing. The attenuation of low-frequency ocean
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A nonlinear transmissibility function-based diagnosis approach for multi-disks rub-impact faults in rotor systems with nonlinear supports Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-05 Quankun Li, Heyu Hu, Mingfu Liao, Xingjian Jing
For diagnosing rub-impact faults in rotor systems, numerous advanced methods leveraging nonlinear vibration features such as Frequency Response Function (FRF), Output Frequency Response (OFR), and Transmissibility Function (TF) have been developed and implemented. Addressing limitations in existing methods, such as the need for reference data from healthy rotors, neglect of nonlinear supports, and
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Fast assessment of non-Gaussian inputs in structural dynamics exploiting modal solutions Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-05 Arvid Trapp, Peter Wolfsteiner
In various technical applications, assessing the impact of non-Gaussian and non-stationary processes on responses of dynamic systems is crucial. While simulating time-domain realizations offers an effective solution for linear dynamic systems, this method proves time-consuming for finite element (FE) models, which may contain thousands to millions of degrees-of-freedom (DOF). Given the central role
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Mechanical properties measurement of chromium coatings based on laser ultrasonic technology in high-temperature conditions Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-04 Jiajian Meng, Xianke Li, Junrong Li, Haomiao Fang, Zhiyuan Zhu, Zerui Zhao, Enpei Zhao, LiLi Cheng, Jianhai Zhang, Hongwei Zhao
The rapid development of the laser ultrasonic technology has promoted non-contact in situ testing of the mechanical properties of materials in high-temperature environments, pursuing enhanced efficiency, precision, and applicability. This paper proposes a laser ultrasound-based technique for characterizing the mechanical properties of materials at high temperatures, and it was applied to determine
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Robust identification of distributed dynamic loads acting on multi-degree-of-freedom structures based on sparse measurement Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-04 Jinshan Huang, Ying Lei, Xiongjun Yang, Xianzhi Li, Kangqian Xu, Feng Wang, Xinghua Chen
Distributed dynamic loads (DDLs) have attracted much attention due to their widespread existence in engineering. However, it remains difficult to measure them directly. Existing DDL identification algorithms have some limitations in terms of dimensionality reduction of DDLs, model order reduction, and robustness. In this study, these issues were addressed and resolved. First, the dimension of continuously
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A time-domain piecewise calculation method of a time-varying isolation platform Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-04 Jiahui Wang, Jing Liu, Guang Pan
Improving low-frequency isolation performance and suppressing resonance transmission under the time-varying excitation are essential requirements for suppressing the vibration of underwater vehicles. Based on the vibration energy dispersion characteristics of time-varying systems in the frequency domain, the author proposed a time-varying isolation platform (TVIP) in previous research to broaden the
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Time-delay compensation control and stability analysis of vehicle semi-active suspension systems Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-04 Guanggang Ji, Shaohua Li, Guizhen Feng, Zhengchuan Li, Xiaoguan Shen
With the aim of enhancing the ride comfort and handling stability of vehicles, an improved Takagi-Sugeno (T-S) fuzzy Smith predictive time-delay compensation control strategy (ITSFS) is proposed. Firstly, the vehicle semi-active suspension model with time-delay is established, and the influence of different time-delay sizes is analyzed. Then, combining the theory of time-delay differential equations
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A weak-form quadrature element method for modal analysis of electric motor stators Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-04 Xudong Li, Chenyu Huang, Shihao Zhao, Shuheng Qiu, Wei Liu, Jinhua Chen, Chi Zhang
The modal analysis of electric stators based on energy principles has been extensively studied. However, existing methods often involve complexities in constructing axial mode shape functions to accommodate various boundary conditions (BCs). This paper presents a weak-form quadrature element method (QEM) for the modal analysis of motor stators, where Lagrange interpolation polynomials are used to construct
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Frequency-domain optimization of seismically isolated structures enhanced with negative stiffness devices Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-04 Georgios I. Florakis, Konstantinos A. Kapasakalis, Evangelos J. Sapountzakis
This study investigates the frequency-domain optimization of base isolated multi-story buildings equipped with novel negative stiffness (NS) vibration control systems (VCS). The examined VCS include the KDamper, the Extended KDamper (EKD) and the Enhanced KDamper (ENKD). Previous research has demonstrated the effectiveness of these devices for seismic protection, by implementing them as standalone
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Structural response reconstruction using a system-equivalent singular vector basis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-03 Keaton Coletti, R. Benjamin Davis, Ryan Schultz
This paper develops a novel method for reconstructing the full-field response of structural dynamic systems using sparse measurements. The singular value decomposition is applied to a frequency response matrix relating the structural response to physical loads, base motion, or modal loads. The left singular vectors form a non-physical reduced basis that can be used for response reconstruction with
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Corrigendum to “Modal analysis of non-conservative systems with friction-induced strong nonlinear damping by using response-controlled testing” [Mech. Syst. Signal Process. 221 (2024) 111718] Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-02 Taylan Karaağaçlı, Furkan K. Çelik
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Improved variational generalized nonlinear mode decomposition for separating crossed chirp modes and dispersive modes of non-stationary signals in mechanical systems Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-01 Hongbing Wang, Shiqian Chen, Wanming Zhai
Recently, an adaptive divide-and-conquer method called variational generalized nonlinear mode decomposition (VGNMD) has been proposed to simultaneously extract chirp modes and dispersive modes from non-stationary signals. However, similar to numerous signal analysis techniques, the VGNMD is unsuitable for analyzing complicated non-stationary signals with crossed modes in mechanical systems because
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Task similarity guided transfer learning for acoustic emission-based rail crack assessment Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-01 Si-Xin Chen, Lu Zhou, Yi-Qing Ni, Jie-Zhong Huang
Transfer learning (TL) has recently experienced significant growth in structural health monitoring (SHM), offering potential solutions to the overfitting problem caused by limited training samples by utilizing knowledge in well-trained models from source to target domain or task. While the discrepancy between source and target domains in TL-aided SHM has been extensively studied, the task similarity
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3D sound radiation reconstruction from camera measurements Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-01 Sofia Baldini, Gianluca Guernieri, Domen Gorjup, Paolo Gardonio, Janko Slavič, Roberto Rinaldo
In general, the measurement of the sound radiation field by machinery and partitions requires time-consuming tests, which should be carried out in specially dedicated anechoic/reverberant facilities with calibrated sensors and complex acquisition and post processing equipment. This article introduces a two-step method for the identification from optical measurements of the free-field sound radiation
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Periodic sparsity envelope spectrum: An advanced spectral quantity for passive acoustic detection of underwater propeller based on prior information of candidate frequencies Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-01 Weiqi Tong, Chenheng Lin, Kelin Wu, Linlin Cao, Rui Wu, Dazhuan Wu
The propeller noise is the primary source of radiated noise from surface ships and submarines. Demodulation techniques such as Detection of Envelope Modulation On Noise (DEMON), narrowband demodulation, and cyclostationary analysis can be used to analyze this noise. However, capturing the characteristic modulation frequencies within the envelope spectrum can be challenging due to far-field effects
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Advancements and frequency domain error analysis for state-input estimation in virtual points via the augmented Kalman filter Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-02-01 Julian Staiger, Rafael S.O. Dias, Alessandro Zucchini, Milena Martarelli, Frank Naets
In this paper, we investigate the usage of the augmented Kalman filter to solve inverse problems by exploiting modal state-space models to characterize forces in a virtual point. Modular engineering approaches require precise interface force characterization, which is challenging to obtain in operation due to the inaccessibility of the interface. However, forces transmitting through connecting components
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Continuous hierarchical symbolic deviation entropy: A more robust entropy and its application to rolling bearing fault diagnosis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-31 Jie Zhou, Shiwu Li, Jinyan Guo, Liding Wang, Zhifeng Liu, Tongtong Jin
The entropy-based method has been proven to be an effective tool for extracting fault features of rolling bearings, but the method still suffers from the defects of being susceptible to the interference of sample length, signal amplitude, and noise, which prevents the fault features from being correctly extracted. To address these issues, a feature extraction method named continuous hierarchical symbolic
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Multi-domain data-driven chatter detection in robotic milling under varied robot poses based on directional attention mechanism Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-31 Xuexin Zhang, Lianyu Zheng, Wei Fan, Lingjun Mao, Ziyu Li, Yansheng Cao
Chatter detection is critical during robotic milling process as chatter severely limits its widespread application. However, the physical properties of a robot under different poses vary, resulting in a fluctuating probability of milling chatter, complicating chatter detection. This study proposes a multi-domain data-driven chatter detection method for robotic milling under various robot poses using
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Design of a hybrid-mode piezoelectric actuator for compact robotic finger based on deep reinforcement learning Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-31 Di Chen, Pengpeng Yu, Guoqing Wang, Xiangyu Liu, Yan Ding, Jiamei Jin
In this study, we propose a novel hybrid-mode piezoelectric actuator for compact robotic finger and introduce a reinforcement learning-based design approach using Double Deep Q-Networks (Double DQN) for design of the hybrid-mode piezoelectric actuator. The experiment demonstrated that the Double DQN algorithm could learn a robust policy that minimized the modal frequency difference, achieving a minimum
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Predicting mechanical properties of RX4E electric aircraft wing composite panels using deep learning Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-31 Jian Zang, Duo Xu, Kang Yang, Xu-Yuan Song, Zhen Zhang, Ye-Wei Zhang, Li-Qun Chen
The building block verification system of the RX4E electric aircraft exhibits complexity and diversity in operational conditions at the foundational coupon level, accompanied by issues of experimental complexity and resource intensity. This paper investigates the effects of various environmental conditions (temperature, humidity) and layup methods through a series of experiments. On this basis, a feature-based
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Bayesian generative kernel Gaussian process regression Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-31 Sin-Chi Kuok, Shuang-Ao Yao, Ka-Veng Yuen, Wang-Ji Yan, Mark Girolami
The Bayesian generative kernel Gaussian process regression (BGKGPR), a novel progressive probabilistic approach for nonparametric modeling with an optimal generative kernel, is proposed. In Gaussian process (GP) regression, a kernel is assigned to represent the similarity between the input data. Conventional kernels are assigned as the commonly used kernels with all input variables, and a trial-and-error
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Investigation on impact behavior with viscous damping and tensile force inspired by Kelvin-Voigt model in granular system Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-30 Gengxiang Wang, Matthias G.R. Faes, Tengfei Shi, Fuan Cheng, Yongjun Pan
This investigation proposes a continuous contact model with different viscous damping factors by employing the physical properties of the Kelvin-Voigt model. The viscous damping coefficient is treated as a function of the loss factor and frequency. The loss factor in the elastoplastic or plastic phase is obtained by solving the linear equation of motion, because the elastoplastic contact stiffness
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Development of a novel passive rate-independent negative stiffness damping device for structural vibration control Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-30 Zian Tang, Hao Luo, Shuo Meng, Hongping Zhu
Rate-independent linear damping (RILD) has recently received increasing attention in the field of structural vibration control, because it is capable of providing selective damping to suppress the harmful earthquake-induced vibration of flexible structures. Many attempts have been made to develop causal approximated models for overcoming the challenge of the non-causality of RILD. However, the majority
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Active aliasing ESPRIT: A robust parameter estimation method for low-intervention Blade tip timing measurement Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-30 Jiahui Cao, Zhibo Yang, Minyue Lu, Liqin Lu, Xuefeng Chen
Rotating blades are critical but fragile components in aeroengine. Damage to rotating blades will sharply reduce the working efficiency and even endanger operational safety. Thus, it is significant to monitor the blades. Blade tip timing (BTT) is an emerging vibration measurement technique for rotating blades and is considered a promising approach for blade condition monitoring owing to its non-contact
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Moment equations and closure approximations for non-linear dynamic response of a guy line of a guyed tower to stochastic wind excitation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-30 Anna Jabłonka, Hanna Weber, Radosław Iwankiewicz
In the present paper the non-linear dynamic behavior of the guy line of a guyed tower under stochastic wind excitation is considered. The guy line is idealized as an isolated taut string wherein the moderate geometric non-linear effects (non-linear strain–displacements relationships) are taken into account. The main purpose of the paper is to determine approximately the mean value and variance of the
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Joint distribution Bures–Wasserstein distance based multi-source student teacher network for rotating machinery fault diagnosis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-30 Fucheng Yan, Liang Yu, Ran Wang, Xiong Hu
Current research in across working conditions transfer fault diagnosis predominantly relies on single source domain adaptation, neglecting the extensive and diverse diagnostic data available from multiple domains in real-world applications. Furthermore, the joint distribution between fault features and classes is often overlooked in existing multi-source studies, resulting in model failures under varying
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An inverse-forward dynamics for real-time operational clamping force prediction of BLAC Motor Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2025-01-30 Seungin Oh, Gyunam Park, Yongbeom Cho, Jongwha Lee, Sangwon Park, Taehwi Lee, Jin-Gyun Kim
This study presents an inverse-forward dynamics for clamping force prediction of brushless AC (BLAC) motor attached to motor driven power steering system (MDPS) in operational condition. The clamping force that is important to safety as well as NVH is difficult to experimentally measure during the operation, and electro-magnetic force that is a main loading condition of MDPS has also a lot of uncertainties