样式: 排序: IF: - GO 导出 标记为已读
-
Vibration-adaptive energy management technology for self-sufficient wireless ECP braking systems on heavy-haul trains Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-16 Liwei Dong, Jianyong Zuo
To address insufficient power supply for wireless electronically controlled pneumatic (ECP) braking systems on railway freight wagons, a self-sufficient system can be developed by using rotary electromagnetic vibration energy harvesters (VEHs) to harness the secondary suspension vibrations. However, stochastic vibrations result in irregular and time-varying operational states of the system, posing
-
Inclination and acceleration data fusion for two-dimensional dynamic displacements and mode shapes identification of super high-rise buildings considering time delay Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-16 Mengxiu Yang, Jie Wu, Qilin Zhang
Accurate identification of dynamic displacements and mode shapes is essential for determining the operating conditions of super high-rise buildings. However, existing structural health monitoring studies typically rely on a limited number of sensors to investigate the individual direction responses, disregarding the overall behaviors, which is inadequate for super high-rise buildings with considerable
-
Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-16 Jie Shang, Danyang Xu, Haobo Qiu, Chen Jiang, Liang Gao
The domain adaptation-based approach for remaining useful life (RUL) prediction has gained significant attention in addressing the challenges of cross-domain RUL prediction, characterized by distribution discrepancies between training and testing data. However, highly relying on the availability of target data limits its applicability in real-time RUL prediction scenarios, where accessing target data
-
Investigation of forced wheel spindle vibration influence on surface formation in grinding of hard materials Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-16 Tengfei Yin, Te Zhao, Hanheng Du, Guoqing Zhang, Zejia Zhao, Wei Hang, Suet To
Grinding is the primary approach to machining hard materials. During the grinding process, high grinding forces are generated due to the high hardness of the workpiece, forcing the grinding wheel spindle system to vibrate and in turn affecting the ground surface quality. This study investigates the influences of the forced wheel spindle vibration on surface formation in the grinding of hard materials
-
Towards mass estimation of passenger cars based on longitudinal dynamics without considering vehicle CAN-bus data Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-16 Kenneth M. Jensen, Ilmar F. Santos, Harry J.P. Corstens
This paper considers mass estimation of passenger cars from vehicle longitudinal dynamics. The primary novelty lies in the work towards mass estimation without data from the controller area network (CAN-bus), instead using only inertial measurement unit (IMU) and global navigation satellite system (GNSS) data. The work first considers improvements related to the estimation of road gradients from the
-
Dynamic mode decomposition based on expectation–maximization algorithm for simultaneous system identification and denoising Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-16 Yuto Iwasaki, Yasuo Sasaki, Takayuki Nagata, Sayumi Kaneko, Taku Nonomura
The present study proposes a novel dynamic mode decomposition (DMD) that can simultaneously estimate the reduced-order model, the original signal, and the system/observation noise model only from the noisy data. An expectation–maximization (EM)-algorithm DMD (EMDMD) combines DMD and the parameter adjustment of the linear dynamical system (LDS) based on the EM algorithm. The initial parameters based
-
An improved EnlightenGAN shadow removal framework for images of cracked concrete Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-14 Rui Sun, Xuming Li, Siu-Seong Law, Libing Zhang, Lingzhi Hu, Gang Liu
The concrete crack images in engineering are usually obscured by unexpected shadow and their removal is usually required which is always a challenging task due to its complexity and diversity. An improved Enlighten Generative Adversarial Networks (IEnlightenGAN) is developed in a proposed framework to improve shadow removal results. The Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN)
-
Development of an in-situ current-carrying friction testing instrument and experimental analysis under the background of the Fourth Industrial Revolution Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-14 Chaofan Li, Zhichao Ma, Jiakai Li, Changxi Wang, Hongwei Zhao, Luquan Ren
In the context of the Fourth Industrial Revolution, the integration of various fields with artificial intelligence will be accelerated, including in-situ testing instruments field. In this study, a multispectral acoustic in-situ current-carrying friction testing instrument was developed through developing a pin-disk-type current-carrying friction testing instrument with an adjustable wear radius and
-
An impulsive noise filter for rail vibration measurements using a laser Doppler vibrometer on a moving platform Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-14 K. Kaynardag, C. Yang, S. Salamone
This paper proposes a new impulsive noise (i.e., IN) filter for non-contact rail vibration measurements performed by a laser Doppler vibrometer (i.e., LDV) placed on a moving rail car. The development of the filter is motivated by the fact that such measurements can be contaminated by IN, which is caused by a high level of speckle noise due to the movement of the LDV. Consequently, some portions of
-
Dynamic data driven load-carrying capacity prediction method for composite laminates with delamination Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-14 Bo Gao, Naigang Cui, Qiang Yang, Junru Wang, Songhe Meng
The delamination of composites has invisibility and can reduce the load-carrying capacity (LCC) of structures. In this paper, a dynamic data driven LCC prediction method for composite laminates considering delamination is proposed. The method is divided into offline and online phases: In the offline phase, finite element modeling, prior information acquisition, and database construction are carried
-
A framework toward fatigue life modeling of machining process verified in burnishing Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Reza Teimouri
In the present work a multiscale model was developed to predict fatigue lives of Inconel 718 after a machining process. The model captures the effects of surface integrity like residual stress, microstructure, hardness and roughness. Within this holistic predictive model, firstly burnishing process factors (viz static force, feed rate, spindle speed and pass number) are correlated to surface integrity
-
Development of a novel circular saw blade substrate with high stiffness for mitigating vibration noise and improving sawing performance Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Jinyou Kang, Heng Zhang, Jinsheng Zhang, Xingdong Yuan, Changyu Lv, Tianyu Bai, Yantao Gong, Jing Guo
The circular saw blade substrates featuring a large diameter-thickness ratio and multiple saw teeth are increasingly required to accomplish the first or second machining tasks with high efficiency in sawing operations. However, the weak bending stiffness of this substrate can easily cause intense vibrations and harsh noises, while its special structure characteristics pose further challenges to vibration
-
Phase nonlinearity–weighted optical flow for enhanced full-field displacement measurement and vibration imaging Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Yeseul Kong, Seunghwan Lee, Yinan Miao, Hyeonwoo Nam, Jun Young Jeon, Gyuhae Park
In this study, we developed a technique to utilize phase nonlinearity as a quantifiable confidence measure of the reliability of component displacement vectors extracted from multi-scale and multi-direction phases. The proposed approach includes three novel concepts. First, relative confidence values are established based on phase nonlinearity to quantify the reliability of the displacement components
-
Theoretical and experimental approaches for flexible cage dynamic characteristics of four-point contact ball bearing considering multi-point contact behaviors Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Yin Su, Jingqi Zhang, Wei Zhang
Multi-point contact often occurs between the balls and raceways of the four-point contact ball bearing (FPCBB) due to operating conditions and manufacturing errors, which can lead to unstable motion and wear of the cage. A dynamic analysis method for FPCBB with a flexible cage under multi-point contact is presented in this paper. Initially, the boundary conditions for different contact points (two-point
-
Backbone curve orientated parameter identification for systems with coupled nonlinearity Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Xiaoxu Zhang, Binbin Diao, Zuolin Liu, Hongbin Fang, Jian Xu
Backbone curve attracts much concern from nonlinear system identification studies because it directly orientates the nonlinearity embedded in a system. Although extensive approaches have been proposed for normal nonlinearities that are symmetric or decoupled in the modal space, it is still challenging to extend the backbone-based identification technique for better applicability. To this end, this
-
[formula omitted]-space physics-informed neural network (k-PINN) for compressed spectral mapping and efficient inversion of vibrations in thin composite laminates Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem, Mathias Kersemans
The vibrational response of structural components carries valuable information about their underlying mechanical properties, health status and operational conditions. This underscores the need for the development of efficient physics-based inversion algorithms which, given a limited set of sensing data points and in the presence of measurement noise, can reconstruct the response at locations where
-
Generalized relative entropy: New look at Rényi entropy and its exploration from complexity measures to sparsity measures with applications in machine condition monitoring Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Lan Wei, Dong Wang, Yu Wang
Complexity measures and sparsity measures are capable of detecting and characterizing underlying dynamic changes in machine condition monitoring. Previous studies have developed Shannon entropy and Kullback-Leibler (KL) divergence and their generalization, namely Rényi entropy and Rényi divergence, but their theoretical properties as a function of sparsity and their transitions from complexity measures
-
A novel semi-convex function for simultaneous identification of moving vehicle loads and bridge damage Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Zhilong Hou, Yi Liang, Ling Yu
For the simultaneous identification (SI) problem on the moving vehicle loads and bridge damage, the existing methods fail to appropriately consider the sparse characteristics of structural damage and ignore the prior information of vehicle loads, which make them suffering from challenges such as prolonged computation cost, poor noise robustness, and limited identification accuracy. To address this
-
Identification of fractional order time delay system with measurement noise using variable period integration operational matrix Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-12 Zishuo Wang, Shuning Liang, Beichen Chen, Hongliang Sun
This paper proposes a parameter identification method for fractional-order time-delay systems with measurement noise, based on the Legendre wavelet variable-period integration operational matrix. A variable-period integration operational matrix and a variable-period time-delay integration operational matrix are constructed by variable-period sampling principle. For the impulse noise, global Gaussian
-
Digital twin-driven senseless cutting force monitoring and vibration stability control of a rotary ultrasonic machining system Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-12 Tian Lan, Pingfa Feng, Jianfu Zhang, Xiangyu Zhang, Jianjian Wang
Rotary ultrasonic machining (RUM) emerges as a superior technique for processing difficult-to-cut materials due to its capacity to improve machining efficiency and surface quality. The tool vibration amplitude and its stability in the machining process are critical to guarantee the performance of RUM. However, due to the lack of a reliable status monitoring and control method, the operator cannot identify
-
Monitoring the bond zone mechanism between reinforced steel & concrete for electromechanical impedance technique through a multi-attached piezo sensor-based diagnostic approach Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-12 Lukesh Parida, Sumedha Moharana
The utilization of steel reinforcement in reinforced concrete structures has garnered substantial attention due to its ability to enhance structural integrity and durability. However, the potential for structural failure remains a critical concern primarily arising due to bond loss at the critical interface between reinforcement and the concrete. This research investigates the bond between concrete
-
On the use of vibrations and temperatures for the monitoring of plastic chain conveyor systems Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 L. Radicioni, F.M. Bono, S. Cinquemani
In industrial automation, the transportation of unit loads plays a crucial role. This paper addresses the under-explored area of plastic chain conveyors, a versatile and efficient means of transport within production processes. Despite their widespread use, these conveyors suffer from wear and tear due to continuous contact between the chain and guide rails, often leading to unscheduled shutdowns and
-
Lamb wave based damage imaging in variable thickness plates Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Caibin Xu, Qi Wang, Guangjian Gao, Mingxi Deng
The researches on Lamb wave based damage localization for constant thickness plates have been widely investigated in the field of structural health monitoring, while the issue of Lamb wave based damage imaging in variable thickness plates is rarely addressed. This is because the Lamb wave propagation characteristics in plates with varying thickness is more complex than that with constant thickness
-
Analysis and experiment of a multi-tile magnetic spring with high negative stiffness Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Mingkai Wu, Ruiqi Gao, Yifan Zhou, Jixing Che, JiuLin Wu, Xiaoqing Li, Xuedong Chen, Wei Jiang
The parallel combination of magnetic negative stiffness mechanisms (MNSMs) with positive stiffness (PS) springs is an effective approach to achieve high load capacity and excellent low-frequency vibration isolation performance. However, in high-static-support situations with restricted mounting space, such as in the precision manufacturing and measuring fields, the magnitudes of the negative stiffness
-
Adaptive neural chattering suppression pseudo inverse active control for a class of micromilling systems with multiaxis piezoelectric actuators Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Xuefei Zhang, Xiuyu Zhang, Zhengyan Hu, Yue Wang, Zhi Li, Yizhou Chen
For a multi-axis nonlinear milling system with piezoelectric actuators, a pseudo inverse dynamic surface active control scheme with adaptive fuzzy output-feedback is developed. The main contributions can be characterized as following: (1) to overcome the hysteresis non-linearities in the piezoelectric actuators, the new hysteresis pseudo inverse compensators are established to replace the conventional
-
Variance estimation of modal parameters from the poly-reference least-squares complex frequency-domain algorithm Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Mikkel Tandrup Steffensen, Michael Döhler, Dmitri Tcherniak, Jon Juel Thomsen
Modal parameter estimation from input/output data is a fundamental task in engineering. The poly-reference least-squares complex frequency-domain (pLSCF) algorithm is a fast and robust method for this task, and is extensively used in research and industry. As with any method using noisy measurement data, the modal parameter estimates are afflicted with uncertainty. However, their uncertainty quantification
-
A novel vibration transfer path analysis for electric vehicle driving motor controllers under strong signal crosstalk Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-10 Lingchen Kong, Xuan Zhao, Xiaolei Yuan, Qiang Yu, Peilong Shi, Chenyu Zhou, Dawei Zhang
Reliability tests of the driving motor controller unit (MCU) that consider actual vehicle structures and vibrations are essential for the development of the MCU in electric vehicles. However, existing measurements ignore the influence of actual vehicle conditions, and the reduction of analysis accuracy caused by the strong crosstalk from actual vehicle structures is also currently unresolved. To resolve
-
Analysis of a two-degree-of-freedom beam for rotational piezoelectric energy harvesting Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-10 Xiang-Yu Li, I-Chie Huang, Wei-Jiun Su
This study introduces a two-degree-of-freedom piezoelectric energy harvester designed to harness rotational motion as an energy source. The harvester is built using a cut-out beam, which enables the first two resonant frequencies to be closely located in the low-frequency range. A distributed continuous model is developed and validated with experimental results. As the beam undergoes significant displacement
-
Nonlinear optimal frequency control for dynamic vibration absorber and its application Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Fansong Li, Hao Wu, Letian Liu, Yunguang Ye, Yong Wang, Pingbo Wu
A principal limitation of passive dynamic vibration absorber (DVA) lies in its intrinsic design constraint, as it is tuned to a specific resonant frequency, rendering it less effective at mitigating vibrations over a variable frequency range. To ensure that the DVA retains its vibration reduction capability under loads with time-varying frequencies, this paper proposes a method for designing the optimal
-
Maximum L-Kurtosis deconvolution and frequency-domain filtering algorithm for bearing fault diagnosis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Haitao Xu, Shengxi Zhou
Blind deconvolution technique can effectively recover the periodic fault impulses. However, deconvolution algorithms may not perform well for fault detection if the objective criteria are sensitive to outliers. Aiming at solving the limitation, a novel maximum L-Kurtosis deconvolution (MLKD) algorithm is proposed. Firstly, the L-Kurtosis is introduced, and the results show that it remains approximately
-
Rebalancing Mel-frequency Cepstrum and parallel fusion model for surface hardness monitoring of laser shock peening using acoustic emission Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Zhifen Zhang, Xianwen Xiang, Rui Qin, Zhengyao Du, Jing Huang, Xizhang Chen, Yu Su, Guangrui Wen, Weifeng He, Xuefen Chen
Laser shock peening (LSP) technology is commonly used to strengthen and extend the life of components such as aero-engine compressor blades. Online monitoring of the LSP process using acoustic emission (AE) technology is crucial for improving its reliability and consistency. However, it is still challenging to obtain the accurate monitoring due to the high sampling rate of AE with wide frequency band
-
Construction of threshold truncated singular value decomposition algorithm and its application in sound field calculation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Yanhao Chen, Zhifei Zhang, Zhongming Xu, Yansong He
One of the main characteristics of ill-posed inverse problems is the strong interference of random noise or measurement errors on the parameters to be estimated. During the solution of inverse problems, measurement errors or noise affect the solution in the form of the reciprocals of singular values, and filtering out the spatial information corresponding to small singular values significantly improves
-
Investigation of an improved time of arrival detection method for acoustic Emission signals and its applications to damage characterisation in composite materials Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan
An improved Time of Arrival (ToA) estimation method is presented for picking the arrival of the Acoustic Emission (AE) signals. The performance of this method is compared with the recently developed ToA estimation methods based on time-varying correlation built on surrogate function, and the non-stationary time series based Akaike Information Criterion (AIC). The method proposed in this research work
-
Underwater source localization using a distributed composite artificial lateral line system with pressure and active electric sensing fusion Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Tongqiang Fu, Qiao Hu, Guangyu Jiang, Jiawei Zhao, Liuhao Shan
Learning about the lateral lines of fish for perceiving their surroundings, various artificial lateral line systems have been developed for underwater vehicles. However, previous studies of artificial lateral line systems for underwater source localization have only relied on single sensing of hydrodynamic or electric modality. Inspired by the functions of mechanoreceptors and electroreceptors in fish
-
Canonical-correlation-based fast feature selection for structural health monitoring Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Sikai Zhang, Tingna Wang, Keith Worden, Limin Sun, Elizabeth J. Cross
Feature selection refers to the process of selecting useful features for machine learning tasks, and it is also a key step for structural health monitoring (SHM). This paper proposes a fast feature selection algorithm by efficiently computing the sum of squared canonical correlation coefficients between monitored features and target variables of interest in greedy search. The proposed algorithm is
-
Aeroelastic stability of labyrinth seal ring considering eccentric whirling Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-07 Yu Li, Guozheng Su, Dan Sun, Zemin Yang, Guozhe Ren, Zhi Wang
Aiming at the aeroelastic instability problem of the labyrinth seal ring with thin-walled cylinder structure in aero-engine, firstly, an aeroelastic stability model of the labyrinth seal ring was established by using three-dimensional interpolation and dynamic mesh in rotating coordinate system based on the energy method. Then, on the basis of the experimental verification of the accuracy of the numerical
-
Design and characterization of a wind-adaptable piezoelectric energy harvester utilizing a rigid-flexible compound blunt body Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-07 Zemeng Yang, Yucun Zhang, Zhe Li, Shijie Lin, Yiqun Gu, Weilin Liao, Zhonghua Zhang, Junwu Kan
In response to the challenges posed by uncontrolled amplitude during galloping and narrow effective bandwidth during vortex-induced vibrations in current energy harvesters, a novel wind-adaptable piezoelectric energy harvester utilizing a rigid-flexible compound blunt body (W-APEH) is proposed. The rigid-flexible compound blunt body improves environmental adaptability and power generation capacity
-
Estimation of velocity response spectrum using acceleration response spectrum Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-07 Zheng Liu, Yan-Gang Zhao, Haizhong Zhang
The velocity response spectrum (SV) plays an important role in the seismic design of structures that incorporate supplementary velocity-dependent dampers, which can be approximated by the pseudo-velocity response spectrum converted from the acceleration response spectrum (SA). However, the error of this approximation is significant for short and long periods. This paper aims to develop a model for
-
Effects of positioning of inner race micro-textures on the tribodynamic performances of radial ball bearings Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-07 Bansidhar Gouda, N. Tandon, R.K. Pandey, C.K. Babu
To improve the tribodynamic performance of ball bearings, micro-texturing has been widely used on bearing components and significant beneficial effects by using different shape, size and density of dimples at their contact zone has been reported in literature. However, behaviour of textures in vicinity of the contact zone in machine components particularly in ball bearings, where lubricant/grease is
-
Performance analysis and optimization design of a rigid-flexible coupling hoisting robot considering cable deformation and random loading Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-06 Bin Zhou, Sipan Li, Bin Zi, Jun Gao, Weidong Zhu
To address performance issues caused by multi-source uncertainties of a rigid-flexible coupling hoisting robot (RFCHR), a performance optimization design method of the RFCHR considering cable deformation and random loading is proposed. The kinematic and dynamic models of the RFCHR are established, and the sources of uncertainty in cable deformation and random loading are analyzed, uncertain parameters
-
Identification of time-varying non-linear systems with adaptive bootstrap-based tracking Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-06 Grzegorz Mzyk
The primary intention of the work is to develop a simple and universal method for identifying time-varying nonlinear dynamic systems. No prior knowledge of the structure (Hammerstein or Wiener) and parametric form of static nonlinear characteristics is required. We limit ourselves to the class of so-called ’fading memory systems’, i.e., those that can be approximated with arbitrary accuracy using finite
-
Multiple channel SPSA algorithm with improved cost function in active vibration control Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-06 Yuliang Yang, Xueguang Liu, Muyun Wu, Feng Feng, Shiwei Wang
In the field of active vibration control (AVC), it is difficult to use the classical filtered-x least mean squares (FxLMS) algorithm to solve the instability problem of active control system caused by the time-varying secondary path when the multiple channel coupling and the secondary path model are complex. Therefore, this paper proposes a new cost function based on the simultaneous perturbation stochastic
-
Corrigendum to “A harmonic balance method combined with dimension reduction and FFT for nonlinear dynamic simulation” [Mech. Syst. Signal Process. 221 (2024) 111758] Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-05 Yi Chen, Lei Hou, Rongzhou Lin, Jinzhou Song, T.Y. Ng, Yushu Chen
-
Robust vision-based sub-pixel level displacement measurement using a complementary strategy Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-04 Yufeng Weng, Ser-Tong Quek, Justin Ker-Wei Yeoh
Over the past decade, computer vision-based measurement approaches have been proposed to achieve non-contact structural displacement measurement. In particular, phase-based optical flow (PBOF) provides accurate dynamic measurements but is limited to estimating small displacements. Conversely, template matching can measure large-scale displacements but suffers from pixel resolution constraints. This
-
Wavelet-based generation of fully non-stationary random processes with application to seismic ground motions Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-04 Federica Genovese, Alessandro Palmeri
Assessing the performance of earthquake-resistant structural and geotechnical systems is crucial for achieving a desired reliability level and enhancing the resilience of the built environment in seismic-prone regions. Nonlinear dynamic analyses are widely used to quantify structural and geotechnical performance. Still, they require an accurate representation of nonlinear behaviours and proper modelling
-
Algebraic K-Space Identification 2D technique for the automatic extraction of complex k-space of 2D structures in presence of uncertainty Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-03 Thomas Brion, Xuefeng Li, Pascal Fossat, Mohamed Ichchou, Olivier Bareille, Abdel-Malek Zine
A robust inverse method for the complex wavenumber space (complex k-space) extraction is essential for structural vibration and damping analysis of two-dimensional structures. Most existing methods suffer from extracting the reliable complex k-space of plates in the presence of realistic uncertainties, especially for plates with low damping properties. To this end, this paper presents a new method
-
The exact error prediction method for MIMO controlled tests Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-03 Odey Yousef, Fernando Moreu, Arup Maji
Multiple-input multiple-output (MIMO) tests are used to replicate environmental conditions on dynamic systems in a lab setting. MIMO tests allow responses at multiple locations to be replicated far better than possible with normal single input tests. However, achieving a desired response at multiple response locations is affected by various factors. Specifying test tolerances based on multiple responses
-
Data-physics hybrid-driven external forces estimation method on excavators Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-02 Yuying Shen, Jixin Wang, Chenlong Feng, Qi Wang, Jiuchen Fan
To enhance the accuracy of excavator external forces estimation, a data-physics hybrid-driven excavator external forces estimation method is proposed. MultiLayer Perceptron (MLP) model is applied for nonlinear component modeling and is used to compensate for Rigid Body Dynamics (RBD) models. Gaussian Process Regression (GPR) model is developed to estimate the external forces and uncertainties based
-
Interstory drift estimation by fusing acceleration and computer vision measurements with experiment validation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-02 Jiazeng Shan, Yuan Zhang, Hanqing Zhang
Structural interstory drift estimation is crucial, offering direct insights into structural conditions under extreme loading scenarios. However, achieving precise estimations poses significant challenges. This paper introduces a novel interstory drift estimation approach that integrates Kalman filter and wavelet-based denoising techniques with acceleration and vision-based measurements at varying sampling
-
Nonlinear shock isolation using the bottleneck phenomenon near a saddle–node ghost Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-02 Jinhong Noh, Pilkee Kim, Yong-Jin Yoon
Recent shock-protection technologies have leveraged elastic instability in nonlinear bistable mechanisms. These innovations include a bistable shock isolator (BSI), which uses a zero-frequency singularity to delay and mitigate force transmission. However, a well-escape accompanying the singularity of the BSI has a critical drawback as the well-escape alters the initial conditions, which precludes repetitive
-
Horizontal shaking table tests on a four-story prototype structure using multi-dimensional earthquake isolation and mitigation devices Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-01 Xin-Yu Liu, Zhao-Dong Xu, Xing-Huai Huang, Xiuli Du, Yuxuan Tao, Zhi-Heng Xia, Li-Xin Wang
Three-dimensional isolation system (3DIS) has been increasingly applied to civil structures with small height-width ratios, but is rarely employed in the multistory and high-rise buildings due to the lack of efficient control strategy for the rocking effect. In this paper, a simplified analysis model of 3DIS was established firstly to bring insights into the coupled motion mode caused by the rocking
-
NPFormer: Interpretable rotating machinery fault diagnosis architecture design under heavy noise operating scenarios Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-01 Hao Liu, Youchao Sun, Xiaoyu Wang, Honglan Wu, Hao Wang
While existing models have achieved significant progress on fault diagnosis tasks, what interpretable temporal dependencies they capture to resist noise remains unclear. Previous studies have ignored the inherent non-stationary property of fault data, which is the basis for capturing reliable temporal dependencies under heavy noise operating scenarios. To tackle the aforementioned problems, we propose
-
Stockwell transform spectral amplitude modulation method for rotating machinery fault diagnosis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-31 Wanming Ying, Yongbo Li, Khandaker Noman, Jinde Zheng, Dong Wang, Ke Feng, Zhixiong Li
Spectral amplitude modulation (SAM) method, as an automated and empirical nonlinear filtering approach, has shown great promise for rotating machinery fault diagnosis. However, due to the inherent shortcomings of Fourier transform in SAM, leading to significant errors in the edited amplitude, also it is easy to fail with selecting the optimal weight value manually under intense background noise. To
-
Unified gear tribo-dynamic of transient mixed lubrication and nonlinear dynamics and its experimental validation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-31 Zongzheng Wang, Zhiqi Shi, Jialong Yang, Xiaolong Huang, Qinghua Zhou, Wei Pu
The rapid development of electric drives technology presents new challenges in the domain of vibration and noise suppression within gear trains. Dynamics modeling serves as a crucial method for studying vibration and noise; however, a deficiency exists in adequately considering the interaction between tribology and the dynamics of gear drives in current research endeavors. This article proposes a unified
-
Reduced-order model-inspired experimental identification of damped nonlinear structures Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-31 M.W. Ahmadi, T.L. Hill, J.Z. Jiang, S.A. Neild
In this work, we address Nonlinear System Identification (NSI) of geometrically nonlinear structures using experimental response data. Specifically we consider nonlinear structures with large inertia effects. A laboratory scale cantilever-type beam structure is considered, which is chosen for its large inertial effects. Free decay data is gathered from the experimental cantilever-type beam system using
-
Fast computation of the spectral correlation via frequency-averaging Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-31 Yu Chen, Jinjin Wang, Longhao Qiu, Guolong Liang, Ying Li
Spectral Correlation (SC) has become a critical analytical instrument for assessing the second-order cyclostationarity (CS) in signals, especially for mechanical vibration signals. Nonetheless, the computational demand for computing SC is considerable. Built upon the Smoothed Cyclic Periodogram (SCP), a consistent estimator named Fast Smoothed Cyclic Periodogram (FastSCP) is proposed to address this
-
Online chatter detection via lightweight deep learning framework with efficient signal pre-processing Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-30 Hexiang Zhou, Zhoulong Li, Liyuan Pan, Jinjia Tian, Limin Zhu
Deep learning methods have attracted considerable attention in the field of chatter detection due to their exceptional feature extraction and identification capabilities. However, it is challenging to adapt these methods to diverse machining conditions with limited sensor resources. In addition, the computational efficiency of these methods is compromised by their complexity, resulting in a reduced
-
A research on resistance spot welding quality judgment of stainless steel sheets based on revised quantum genetic algorithm and hidden markov model Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-30 Bing Wang
In view of the following problems existed in the data-driven resistance spot welding (RSW) quality judgment methods: relying on expert experience, resulting in a high misjudgment rate; affected by the initial value, it is easy to fall into the local extreme point; multiple parameters needed to be modulated to increase the training time of the model. Therefore, this paper proposed a RSW quality judgment
-
A data-driven dynamic method of downhole rock characterisation for the vibro-impact drilling system Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-30 Kenneth Omokhagbo Afebu, Yang Liu, Evangelos Papatheou
For the real-time characterisation of an inhomogeneous impact inhibiting constraint such as downhole rock layers, an unconventional method using machine learning (ML) and drill-bit vibrations is investigated. An impact oscillator with one-sided elastic constraint is employed in modelling the bit-rock impact actions. Measurable drill-bit dynamics, such as acceleration, were acquired and processed into
-
Analysis of human body vibration response on high-speed trains under crosswinds Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-08-30 Zongfa Zhang, Xinbiao Xiao, Hanwen Xu, Xuesong Jin
The increase in the speed of high-speed trains and the widespread use of lightweight vehicle body technology have made vehicle systems more sensitive to aerodynamic excitation. However, few studies have focused on the worsening of passenger ride comfort, as opposed to just safety, when trains pass along windy railway lines. This study first analyzes the connection between flow structure and aerodynamic