- 作 者: ( "qingbo he" OR "qing-bo he" )
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Gearbox fault diagnosis under nonstationary condition using nonlinear chirp components extracted from bearing forceMechanical Systems and Signal Processing (IF 8.934) Pub Date : 2022-06-16 ,DOI:10.1016/j.ymssp.2022.109440Xiaoluo Yu, Yifan Huangfu, Qingbo He, Yang Yang, Minggang Du, Zhike PengThe main challenges in gearbox condition monitoring and fault diagnosis are the heavy noises caused by harsh operating environments and the complicated nonstationary condition during the runtime. It is extremely difficult and even impossible to obtain sensitive fault characteristics through direct measurements. Thus, it is of great significance of fault characteristic inversion based on the structure ...
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Scattering-coded architectured boundary for computational sensing of elastic wavesCell Reports Physical Science (IF 7.832) Pub Date : 2022-06-03 ,DOI:10.1016/j.xcrp.2022.100918Tianxi Jiang, Xinxin Liao, Hao Huang, Zhi-Ke Peng, Qingbo He
Object localization through active elastic waves is a crucial technology but generally requires a transducer array with complex hardware. Although computational sensing can overcome the shortcomings of transducer array by merging artificially designed structures into the sensing process, coding spatial elastic waves for active object sensing is still a knowledge gap. Here, we propose a scattering-coded
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Logging calculation method and application of geochemical parameters of source rocks with different lithologies in marine-continental transitional facies in Ordos Basin, ChinaArabian Journal of Geosciences (IF 1.827) Pub Date : 2022-06-03 ,DOI:10.1007/s12517-022-10347-4Li Ping Zhao, Jungang Lu, Xiaogang Li, Yong Li, Qingbo He, Zhiwei MaThe coal-bearing strata of Shan23 sub-member in the Daning-Jixian area of the eastern Ordos Basin is typical marine-continental transitional facies deposits. Shale, carbonaceous shale, coal and sandstone are developed. The lithology is complex and superimposed, which increases the difficulty of exploration dramatically. The study area is in the initial exploration stage, and the samples are limited ...
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Dynamic mass isolation method utilized in self-moving precision positioning stage for improved speed performance.Review of Scientific Instruments (IF 1.843) Pub Date : 2022-05-01 ,DOI:10.1063/5.0079742Xinxin Liao,Qingbo He,Zhihua FengThe method of dynamic mass isolation is utilized in a self-moving precision positioning stage actuated by a piezostack to increase its moving speed. Two prototypes, namely, the referenced stage and the modified stage, have been fabricated. The only difference between the two stages is the flexure hinge manufactured in the modified stage to achieve an efficient dynamic mass isolation method. The step ...
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Two-level variational chirp component decomposition for capturing intrinsic frequency modulation modes of planetary gearboxesMechanical Systems and Signal Processing (IF 8.934) Pub Date : 2022-04-26 ,DOI:10.1016/j.ymssp.2022.109182Sha Wei, Qingbo He, Dong Wang, Zhike PengDue to the advantages of high transmission ratios and large carrying capacity, planetary gearboxes have been widely used in various industrial machinery. Vibration signals caused by planetary gearbox faults usually have intrinsic frequency modulation (FM) modes. Since the intrinsic FM modes have fast time-varying and oscillating characteristics, extraction of the intrinsic FM modes is still a challenging ...
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An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosisStructural Health Monitoring (IF 5.71) Pub Date : 2022-04-26 ,DOI:10.1177/14759217221086314Junchao Guo, Qingbo He, Dong Zhen, Fengshou Gu, Andrew D BallWeak fault feature extraction is of great significance to the fault diagnosis of rolling bearing. At the early stage of defects, fault features are usually weak and easily submerged in strong background noise, which makes feature information extremely difficult to be excavated. This paper proposes an iterative morphological difference product wavelet (MDPW) to address this issue. In this scheme, firstly ...
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Geochemistry of different source rocks and oil-source correlation of Lacustrine sedimentary successions: A case study of the Triassic Yanchang Formation in the Dingbian-Wuqi Area, Ordos Basin, Northern ChinaJournal of Asian Earth Sciences (IF 3.374) Pub Date : 2022-04-18 ,DOI:10.1016/j.jseaes.2022.105216Jungang Lu, Jianbo Liao, Xiangjun Liu, Yong Li, Jingli Yao, Qingbo He, Zhenglu Xiao, Xin He, Xiaoyan Fu, Xinme LiDuring the deposition of the Chang 7 Member of the Yanchang Formation, pronounced lake invasion occurred, resulting in the formation of the largest lake in the Ordos Basin. This change has caused ambiguity in the source rock characteristics among the different sedimentary environments represented, thereby restricting the exploration of oil–source correlations and hydrocarbon migration pathways corresponding ...
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The genesis of bitumen and its effect on hydrocarbon accumulationEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects (IF 2.902) Pub Date : 2022-04-01 ,DOI:10.1080/15567036.2022.2056265Xin He, Jungang Lu, Qingbo He, Xiaoyan Fu, Meimei Han, Biqing Zhu, Shijia ChenABSTRACT In recent years, large amounts of bitumen have been discovered in the Permian Lower Wuerhe Formation (P2w) reservoir exploration of the Mahu Sag on the northwestern margin of the Junggar Basin. However, bitumen genesis and its influence on oil accumulation remain unclear, affecting the subsequent exploration and development in this area. Therefore, this study analyzed the genesis and source ...
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IC Curve-Based Lithium-Ion Battery SOC Estimation at High Rate Charging CurrentIEEE Transactions on Instrumentation and Measurement (IF 5.332) Pub Date : 2022-03-17 ,DOI:10.1109/tim.2022.3160554Kun Yu, Hang Wang, Lei Mao, Qingbo He, Qiang WuThe safety of battery operation requires a reliable battery management system (BMS) with an accurate and rapid estimation of battery state of charge (SOC), especially at fast charging scenarios. This article proposes an incremental capacity (IC) curve-based battery SOC estimation method at a high rate charging current, where SOC-IC functions are derived to estimate battery SOC using the measured IC ...
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Evaluation of Lithium-Ion Battery Pack Capacity Consistency Using One-Dimensional Magnetic Field ScanningIEEE Transactions on Instrumentation and Measurement (IF 5.332) Pub Date : 2022-03-02 ,DOI:10.1109/tim.2022.3156180Hang Wang, Kun Yu, Lei Mao, Qingbo He, Qiang Wu, Zhinong LiThe capacity inconsistency among commercial lithium-ion battery packs is an important factor affecting their service life. However, there is still a lack of detection methods to accurately test the capacity consistency of lithium-ion battery packs at cell level. To solve this problem, a non-destructive testing method for capacity consistency of lithium-ion battery pack based on 1-D magnetic field scanning ...
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Stimuli-responsive metamaterials with information-driven elastodynamics programmingMatter (IF 19.967) Pub Date : 2021-12-17 ,DOI:10.1016/j.matt.2021.11.031Chong Li, Zhi-Ke Peng, Qingbo HeBiological stimuli-responsiveness has inspired material-based smart systems in various fields. The stimuli-responsive materials are generally used as building blocks to construct bioinspired systems with a programmable elastostatics property. However, the programmability of the elastodynamics property in stimuli-responsive material systems remains a major challenge. By mimicking species of the genus ...
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Multiple Frequency Modulation Components Detection and Decomposition for Rotary Machine Fault DiagnosisIEEE Transactions on Instrumentation and Measurement (IF 5.332) Pub Date : 2021-12-15 ,DOI:10.1109/tim.2021.3134334Xiaoluo Yu, Yang Yang, Qingbo He, Minggang Du, Zhike PengFor rotary machines, the measured vibration signals contain multiple frequency modulation components with much machine health information. Decomposing vibration signals of rotary machines into a series of sub-signal components with physical meaning is of great significance for a deep understanding of the machine properties in solving fault diagnosis problems. However, accurately detecting and decomposing ...
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Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault DiagnosisIEEE Transactions on Instrumentation and Measurement (IF 5.332) Pub Date : 2021-11-13 ,DOI:10.1109/tim.2021.3126019Baoxuan Zhao, Changming Cheng, Zhike Peng, Qingbo He, Guang MengRemoving or at least attenuating the effect of noise is of significance for machine fault diagnosis under noisy measuring environments. In this article, deep denoising neural networks are developed to decrease the influence of noise on the modeling accuracy of deep neural networks (DNNs). Among the network, a reproducing kernel Hilbert space (RKHS)-based denoising layer is designed as the first layer ...
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Parametric Doppler correction analysis for wayside acoustic bearing fault diagnosisMechanical Systems and Signal Processing (IF 8.934) Pub Date : 2021-09-30 ,DOI:10.1016/j.ymssp.2021.108375Xiaoxi Ding, Yulan Li, Jiawei Xiao, Qingbo He, Xiaoqing Yang, Yimin ShaoWayside acoustic system plays a crucial role in monitoring and diagnosing the status of train wheel bearings. However, due to the signal distortion caused by Doppler effect, the diagnosis accuracy will be seriously disturbed. In this manner, this paper proposes a model-driven Doppler distortion self-tuning method in theory, named as parametric Doppler correction analysis (PDCA). Different from traditional ...
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Gearbox fault diagnosis based on bearing dynamic force identificationJournal of Sound and Vibration (IF 4.761) Pub Date : 2021-07-16 ,DOI:10.1016/j.jsv.2021.116360Xiaoluo Yu, Zhanwei Li, Qingbo He, Yang Yang, Minggang Du, Zhike PengIn the area of gearbox fault diagnosis, to obtain sufficient and effective vibration information, traditional studies are usually conducted from the perspective of optimizing the layout of measuring points. This paper focuses on a gearbox fault diagnosis method based on bearing dynamic force identification. Gearbox bearing dynamic forces under the operating condition are modeled as excitation sources ...
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An Interpretable Denoising Layer for Neural Networks Based on Reproducing Kernel Hilbert Space and its Application in Machine Fault DiagnosisChinese Journal of Mechanical Engineering (IF 1.824) Pub Date : 2021-05-13 ,DOI:10.1186/s10033-021-00564-5Baoxuan Zhao, Changming Cheng, Guowei Tu, Zhike Peng, Qingbo He, Guang Meng
Deep learning algorithms based on neural networks make remarkable achievements in machine fault diagnosis, while the noise mixed in measured signals harms the prediction accuracy of networks. Existing denoising methods in neural networks, such as using complex network architectures and introducing sparse techniques, always suffer from the difficulty of estimating hyperparameters and the lack of physical
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Evaluation Method for Feature Selection in Proton Exchange Membrane Fuel Cell Fault DiagnosisIEEE Transactions on Industrial Electronics (IF 8.162) Pub Date : 2021-05-13 ,DOI:10.1109/tie.2021.3078395Lei Mao, Zhongyong Liu, Derek Low, Weitao Pan, Qingbo He, Lisa Jackson, Qiang WuConsidering the fact that various features can be used in proton exchange membrane fuel cell (PEMFC) fault diagnosis, while the lack of feature evaluation method brings great difficulty in selecting appropriate features at practical PEMFC applications, a generalized feature evaluation and selection method is urgently required in PEMFC fault diagnosis. This article proposes a novel feature evaluation ...
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Dynamic Degradation Quantification of Wind Turbine High Speed Shaft Bearing Based on Oscillation Based Sparsity IndicesJournal of Physics: Conference Series Pub Date : 2021-04-27 ,DOI:10.1088/1742-6596/1880/1/012013Khandaker Noman, Qingbo He, Zhike Peng, Dong Wang
Wind turbine (WT) high speed shaft (HSS) bearing fault is important due to its significant number of failures. However, due to its non-stationary operation under varying speed condition, it is a challenging issue to quantify the degradation of WT-HSS bearing by conventional bearing indices. Aiming at the aforementioned issue, in this paper, tunable Q factor wavelet transform (TQWT) preprocessed sparsity
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Time-Frequency Bandpass Filter with Nonstationary Signal Decomposition ApplicationJournal of Physics: Conference Series Pub Date : 2021-04-27 ,DOI:10.1088/1742-6596/1880/1/012003Xiaoluo Yu, Yang Yang, Qingbo He, Zhike Peng
In various applications such as speech processing, underwater sound, radar application and mechanical fault diagnosis, there are large number of nonstationary signals. In order to achieve nonstationary signal decomposition, the instantaneous frequency ridge is extracted through interactive mode, and a time-frequency bandpass filter (TFBPF) method is proposed. This method is the modified version of
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Origami-based adjustable sound-absorbing metamaterialSmart Materials and Structures (IF 4.131) Pub Date : 2021-04-20 ,DOI:10.1088/1361-665x/abf420Pingting Jiang, Tianxi Jiang, Qingbo HeBroadband acoustic absorption at deep sub-wavelength has become a research hotspot, while current methods still suffer from thick structures and narrow bandwidth. This study proposes an origami-based foldable sound absorber based on micro-perforated resonators. The origami acoustic absorber is composed of six different channels. The resonance frequency of each channel can be easily tuned by origami ...
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Long-Term Performance Prediction of PEMFC Based on LASSO-ESNIEEE Transactions on Instrumentation and Measurement (IF 5.332) Pub Date : 2021-02-10 ,DOI:10.1109/tim.2021.3058365Kai He, Lei Mao, Jianbo Yu, Weiguo Huang, Qingbo He, Lisa JacksonIn recent years, with wide application of proton exchange membrane fuel cell (PEMFC) in vehicles and portable applications, researches regarding PEMFC lifetime behavior and associated prognostic techniques receive more interest. In this article, a least absolute shrinkage and selection operator-echo state network (LASSO-ESN)-based prognostic strategy is proposed for the optimization of input parameters ...
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Smart Metasurface Shaft for Vibration Source Identification with a Single SensorJournal of Sound and Vibration (IF 4.761) Pub Date : 2021-02-01 ,DOI:10.1016/j.jsv.2020.115836Chong Li, Tianxi Jiang, Qingbo He, Zhike PengAbstract In vibration monitoring of rotating machinery, traditional methods necessarily rely on multiple sensors to locate the vibration sources on the shaft. Reducing the number of sensors is an engineering challenge for on-shaft vibration source identification. This paper proposed a smart metasurface shaft (SMST) to achieve single-sensor identification of vibration sources. For the proposed SMST ...
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Interactive Visual Simulation Modeling for Structural Response Prediction and Damage DetectionIEEE Transactions on Industrial Electronics (IF 8.162) Pub Date : 2021-01-14 ,DOI:10.1109/tie.2021.3050365Zhen Liu, Qingbo He, Zhike PengCameras capture the dynamic behaviors of vibrating structures or systems in videos, and the object in videos can respond to new forces to explore more dynamics by visual simulation methods. However, existing visual simulation models usually suffer from strong noise interference and lack rigorous verification of the simulation accuracy in the field of structural dynamics analysis. In this article, we ...
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Oscillation based permutation entropy calculation as a dynamic nonlinear feature for health monitoring of rolling element bearingMeasurement (IF 5.131) Pub Date : 2020-12-19 ,DOI:10.1016/j.measurement.2020.108891Khandaker Noman, Dong Wang, Zhike Peng, Qingbo HeAiming at overcoming the limitations of permutation entropy (PE) in dynamic bearing health monitoring (Healthy-initial fault inception-severe fault stage) , in this paper, PE calculation based on tunable Q factor wavelet transform (TQWT) is implemented to quantify bearing health. Firstly, weaknesses of PE in depicting bearing health are studied through numerically simulated signals. Secondly, based ...
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Stiffness-mass-coding metamaterial with broadband tunability for low-frequency vibration isolationJournal of Sound and Vibration (IF 4.761) Pub Date : 2020-12-01 ,DOI:10.1016/j.jsv.2020.115685Chong Li, Tianxi Jiang, Qingbo He, Zhike PengAbstract Low-frequency vibration isolation is essential for safety, accuracy and stability in various engineering areas. Traditional methods are generally limited to the adjustment of vibration bandwidth and frequency, so broadband tunability is challenging in practical low-frequency isolation applications. This paper proposed a stiffness-mass-coding metamaterial (SMCM) to achieve broadband tunability ...
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Doppler distortion removal based on Dopplerlet transform and re-sampling for wayside fault diagnosis of train bearingsProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (IF 1.758) Pub Date : 2020-10-25 ,DOI:10.1177/0954406220969564Ao Zhang, Changqing Shen, Qingbo He, Fei Hu, Fang Liu, Fanrang KongIn wayside fault diagnosis of train bearings, the phenomenon of Doppler distortion in the acoustic signal of moving acoustic source acquired with a microphone leads to the difficulty for signal ana... ...
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Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature ExtractionIEEE Transactions on Industrial Informatics (IF 11.648) Pub Date : 2020-10-12 ,DOI:10.1109/tii.2020.3030186Quanchang Li, Xiaoxi Ding, Qingbo He, Wenbin Huang, Yimin ShaoThe transient features caused by a local fault are of vital importance for bearing fault diagnosis in an intelligent industry. Due to the uncertainty of fault forms and nonstationarity of operating conditions, the fault feature distribution influenced by the physical dynamic response of actual defect is always complex and irregular with morphological differences. This will bring embarrassments for ...
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Vision-based moving mass detection by time-varying structure vibration monitoringIEEE Sensors Journal (IF 4.325) Pub Date : 2020-10-01 ,DOI:10.1109/jsen.2020.2998285Zhen Liu, Qingbo He, Zhanwei Li, Zhike Peng, Wenming ZhangIn recent years, vision-based vibration measurement methods have been widely used in the field of mechanical engineering for structural health monitoring and fault diagnosis. However, these current methods mainly focus on monitoring the stationary vibrations of time-invariant systems or structures, which cannot deal with the time-varying conditions. In this paper, a video camera is used to monitor ...
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A novel method for polymer electrolyte membrane fuel cell fault diagnosis using 2D dataJournal of Power Sources (IF 9.794) Pub Date : 2020-09-17 ,DOI:10.1016/j.jpowsour.2020.228894Zhongyong Liu, Mengliu Pei, Qingbo He, Qiang Wu, Lisa Jackson, Lei MaoThis paper proposes a novel approach for fault diagnosis of polymer electrolyte membrane fuel cell (PEMFC) with two-dimension (2D) image data, and investigates its effectiveness of identifying faults at different PEMFCs in terms of discrimination capacity and robustness. In the analysis, one-dimension (1D) voltage data from single cell is converted to corresponding 2D image using signal-to-image conversion ...
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A scale independent flexible bearing health monitoring index based on time frequency manifold energy & entropyMeasurement Science and Technology (IF 2.398) Pub Date : 2020-09-10 ,DOI:10.1088/1361-6501/ab9412Khandaker Noman, Qingbo He, Zhike Peng, Dong WangShannon entropy measure applied to a time frequency distribution of a signal is a reliable indicator to quantitatively analyze a rolling element bearing health status. However, usually conventional time frequency representations rely on selection of the best scale of a base function in order to deal with noise components present in a vibration signal. In this context, time frequency manifold (TFM) ...
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