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Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition. EI PubMed Scopus SCIE
期刊论文 | 2019 , 84 , 82-95 | ISA transactions
WoS CC Cited Count: 1 SCOPUS Cited Count: 1
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Abstract :

Parameter-adaptive variational mode decomposition (VMD) has attenuated the dominant effect of prior parameters, especially the predefined mode number and balancing parameter, which heavily trouble the traditional VMD. However, parameter-adaptive VMD still encounters some problems when it is applied to the data from industry applications. On one hand, the mode number chosen using parameter-adaptive VMD is not the optimal. Numbers of redundant modes are decomposed. On another hand, parameter-adaptive VMD has much space for the improvement when it is applied to compound-fault diagnosis. To solve these issues and further enhance its performance, an improved parameter-adaptive VMD (IPAVMD) is proposed in this paper. Firstly, a new index, called ensemble kurtosis, is constructed by combining with kurtosis and the envelope spectrum kurtosis. It can simultaneously take the cyclostationary and impulsiveness into consideration. Secondly, the optimization objective function of grasshopper optimization algorithm is improved based on the ensemble kurtosis. The improved method chooses the mean value of the ensemble kurtosis of all modes rather than that of the individual mode as objective function. Thirdly, to extract all potential fault information, an iteration algorithm is used in the new method. Benefiting from these improvements, the proposed IPAVMD outperforms the traditional parameter-adaptive VMD and further expands the application to compound-fault diagnosis. It has been verified by a series of simulated signals and a real dataset from the axle box bearings of locomotive.

Keyword :

Feature extraction Improved parameter-adaptive VMD Compound-fault diagnosis Iteration Parameter-adaptive VMD

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GB/T 7714 Miao Yonghao , Zhao Ming , Lin Jing . Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition. [J]. | ISA transactions , 2019 , 84 : 82-95 .
MLA Miao Yonghao 等. "Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition." . | ISA transactions 84 (2019) : 82-95 .
APA Miao Yonghao , Zhao Ming , Lin Jing . Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition. . | ISA transactions , 2019 , 84 , 82-95 .
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Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings EI Scopus SCIE
期刊论文 | 2019 , 184 , 41-54 | Reliability Engineering and System Safety
SCOPUS Cited Count: 3
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Abstract :

The effective extraction of weak fault features is crucial in condition monitoring and fault diagnosis of rolling bearings. Sparse coding, as a promising tool for signal denoising and feature extraction, has attracted a lot of attention in recent years. However, many challenges still exist when sparse coding is applied to the bearings detection under harsh working conditions. Specifically, the predefined dictionary-based sparse coding (PDSC) usually needs prior knowledge about the target signal, while the learning dictionary-based sparse coding (LDSC) is susceptible to interfering components produced by other rotating parts, thus bringing difficulties for early fault identification. To overcome these disadvantages, a hierarchical discriminating sparse coding (HDSC) method is presented in this paper, which could process the raw signals directly and utilize hierarchical concept to isolate interferences. In addition, a novel index termed envelope harmonic-to-noise ratio (EHNR) is introduced to give the instruction on reasonably choosing the parameters in the process of HDSC. The advantages of HDSC over traditional approaches are validated on the simulated signals and real vibration data from locomotive bearing. The results demonstrate that the proposed method can successfully extract the weak fault feature even in the presence of strong noise and ambient interferences. © 2018 Elsevier Ltd.

Keyword :

Dictionary-based Harmonic to noise ratios Prior knowledge Rolling bearings Simulated signals Sparse coding Traditional approaches Weak fault feature extraction

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GB/T 7714 Jiao, Jinyang , Zhao, Ming , Lin, Jing et al. Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings [J]. | Reliability Engineering and System Safety , 2019 , 184 : 41-54 .
MLA Jiao, Jinyang et al. "Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings" . | Reliability Engineering and System Safety 184 (2019) : 41-54 .
APA Jiao, Jinyang , Zhao, Ming , Lin, Jing , Liang, Kaixuan . Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings . | Reliability Engineering and System Safety , 2019 , 184 , 41-54 .
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Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates EI Scopus SCIE
期刊论文 | 2019 , 119 , 420-431 | Mechanical Systems and Signal Processing
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Abstract :

Ultrasonic detection is one of the most commonly used methods in nondestructive testing. Trailing pulses that can be observed in plates and cylindrical rods are a list of longitudinal ultrasonic waves. However, the complexity of trailing pulses brings challenges for ultrasonic–based nondestructive testing. In this paper, a trailing pulses self-focusing method for damage detection in thick plates is proposed by utilizing physical characters of trailing pulses. Firstly, the characteristics of trailing pulses are analyzed by theoretical derivation. Then, three steps of trailing pulses self-focusing method including correlation filtering, energy envelope screening and defect matching are introduced. After that, the trailing pulses of single defect can be focused and the accurate positions of defects can be obtained as well. Finally, a prospective application of trailing pulses, which uses ultrasound phased array (UPA) for nondestructive testing, is discussed. The experiment is carried out on an aluminum plate with a remarkable thickness, which illustrates the effectiveness of the method. © 2018 Elsevier Ltd

Keyword :

Correlation filtering Energy envelope Longitudinal ultrasonic Prospective applications Self-focusing Theoretical derivations Ultrasonic detection Ultrasound phased arrays

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GB/T 7714 Shao, Yongsheng , Zeng, Liang , Lin, Jing et al. Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates [J]. | Mechanical Systems and Signal Processing , 2019 , 119 : 420-431 .
MLA Shao, Yongsheng et al. "Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates" . | Mechanical Systems and Signal Processing 119 (2019) : 420-431 .
APA Shao, Yongsheng , Zeng, Liang , Lin, Jing , Wu, Wentao , Zhang, Hui . Trailing pulses self-focusing for ultrasonic-based damage detection in thick plates . | Mechanical Systems and Signal Processing , 2019 , 119 , 420-431 .
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Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal EI SCIE
期刊论文 | 2019 , 122 , 673-691 | Mechanical Systems and Signal Processing
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Abstract :

Since multicomponent modulation and complicated interference simultaneously exist in the vibration signals caused by the bearing compound fault, the fault feature becomes rather weak and is hard to be extracted. Therefore, the diagnosis of bearing compound fault is always considered as the bottle neck issue of machinery condition monitoring. The decomposition methods which can separate the individual component into different modes with appropriate criterion provide an alternative for solving this issue. However, various weaknesses, including mode mixing, depending on predefined mode number and poor noise suppression, seriously restrict their application range. To overcome the disadvantages, a novel decomposition method, swarm decomposition (SWD), is initially introduced in the diagnosis of the machinery fault. Inspired by the swarm intelligence, SWD can intelligently decompose the signal by using the swarm filtering and iterative algorithm. A series of analysis, including an impulse responses test and a numerical validation, verifies SWD has a remarkable performance in the decomposition of multicomponent modulation signal. Yet, the superiority also relies on the choice of thresholds. Therefore, a novel nature-inspired meta-heuristic optimization algorithm, whale optimization algorithm (WOA), is applied to solve the problem. Benefiting from the virtues of SWD and WOA, the proposed optimal swarm decomposition (OSWD) is more suitable for the weak feature extraction from multicomponent modulation signal. Finally, to further highlight its superiority in the diagnosis of the bearing compound fault, a number of simulation and real datasets from the axle box bearings of locomotive are applied. Results show that OSWD can be considered as an alternative to address the bottle neck issue from the bearing compound fault. © 2018 Elsevier Ltd

Keyword :

Bearing fault diagnosis Compound fault diagnosis Individual components Machinery condition monitoring Meta-heuristic optimizations Mode decomposition Numerical validations Optimization algorithms

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GB/T 7714 Miao, Yonghao , Zhao, Ming , Makis, Viliam et al. Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal [J]. | Mechanical Systems and Signal Processing , 2019 , 122 : 673-691 .
MLA Miao, Yonghao et al. "Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal" . | Mechanical Systems and Signal Processing 122 (2019) : 673-691 .
APA Miao, Yonghao , Zhao, Ming , Makis, Viliam , Lin, Jing . Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal . | Mechanical Systems and Signal Processing , 2019 , 122 , 673-691 .
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Health assessment of rotating machinery using a rotary encoder EI Scopus
期刊论文 | 2018 , 65 (3) , 2548-2556 | IEEE Transactions on Industrial Electronics
SCOPUS Cited Count: 4
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Abstract :

In this paper, a systematic framework is established for health assessment of rotating machinery using a rotary encoder. In this framework, spectral quadratic weighting is first developed to convert encoder signals into acceleration series. Comb filtering is then introduced to remove the interferences resulting from drive/load variations. Finally, an adaptive denoising scheme based on Gini index is proposed to enhance the impulses caused by mechanical defects. The simulation and experimental results show that the proposed method is sensitive to incipient faults, and offers a promising tool for health assessment of rotating machinery. © 1982-2012 IEEE.

Keyword :

Adaptive denoising Encoder signal analysis (ESA) Encoder signals Health assessments Incipient faults Mechanical defects Quadratic weighting Systematic framework

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GB/T 7714 Zhao, Ming , Lin, Jing . Health assessment of rotating machinery using a rotary encoder [J]. | IEEE Transactions on Industrial Electronics , 2018 , 65 (3) : 2548-2556 .
MLA Zhao, Ming et al. "Health assessment of rotating machinery using a rotary encoder" . | IEEE Transactions on Industrial Electronics 65 . 3 (2018) : 2548-2556 .
APA Zhao, Ming , Lin, Jing . Health assessment of rotating machinery using a rotary encoder . | IEEE Transactions on Industrial Electronics , 2018 , 65 (3) , 2548-2556 .
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Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox EI SCIE Scopus
期刊论文 | 2018 , 98 , 16-31 | MECHANICAL SYSTEMS AND SIGNAL PROCESSING
WoS CC Cited Count: 10 SCOPUS Cited Count: 15
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Abstract :

In modern rotating machinery, rotary encoders have been widely used for the purpose of positioning and dynamic control. The study in this paper indicates that, the encoder signal, after proper processing, can be also effectively used for the health monitoring of rotating machines. In this work, a Kurtosis-guided local polynomial differentiator (KLPD) is proposed to estimate the instantaneous angular speed (IAS) of rotating machines based on the encoder signal. Compared with the central difference method, the KLPD is more robust to noise and it is able to precisely capture the weak speed jitters introduced by mechanical defects. The fault diagnosis of planetary gearbox has proven to be a challenging issue in both industry and academia. Based on the proposed KLPD, a systematic method for the fault diagnosis of planetary gearbox is proposed. In this method, residual time synchronous time averaging (RTSA) is first employed to remove the operation-related IAS components that come from normal gear meshing and non-stationary load variations, KLPD is then utilized to detect and enhance the speed jitter from the IAS residual in a data-driven manner. The effectiveness of proposed method has been validated by both simulated data and experimental data. The results demonstrate that the proposed KLPD-RTSA could not only detect fault signatures but also identify defective components, thus providing a promising tool for the health monitoring of planetary gearbox. (C) 2017 Elsevier Ltd. All rights reserved.

Keyword :

Fault diagnosis Instantaneous angular speed Local polynomial differentiator Planetary gearbox Health monitoring

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GB/T 7714 Zhao, Ming , Jia, Xiaodong , Lin, Jing et al. Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2018 , 98 : 16-31 .
MLA Zhao, Ming et al. "Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 98 (2018) : 16-31 .
APA Zhao, Ming , Jia, Xiaodong , Lin, Jing , Lei, Yaguo , Lee, Jay . Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2018 , 98 , 16-31 .
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An improved time reversal method for diagnostics of composite plates using Lamb waves EI SCIE Scopus
期刊论文 | 2018 , 190 , 10-19 | COMPOSITE STRUCTURES
WoS CC Cited Count: 1
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Abstract :

The time reversal method has been widely used to detect damage in composite plates. Based on the time reversibility of Lamb waves, the waveform of the original input signal will be reconstructed after the time reversal process. However, the time reversal operator of Lamb waves in composite plates is a function of frequency. Thus the shape of the reconstructed signal will not be identical to that of the original input signal. To alleviate the effects of the time reversal operator, an improved time reversal method (ITRM) is proposed. In this method, the response signal in the forward path and the reconstructed signal in the time reversed path are both modulated by a weight vector which is obtained as the product of a window function and the reciprocal of amplitude dispersion. The window function varies with the excitation signal adaptively, and its shape is also determined by a threshold. An experimental example is then introduced to illustrate the effectiveness of the ITRM. The results show that the time reversibility can be greatly enhanced and the impact damage in the composite plate can be exactly located by the ITRM.

Keyword :

Composite Time reversal operator Damage detection Lamb wave

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GB/T 7714 Huang, Liping , Zeng, Liang , Lin, Jing et al. An improved time reversal method for diagnostics of composite plates using Lamb waves [J]. | COMPOSITE STRUCTURES , 2018 , 190 : 10-19 .
MLA Huang, Liping et al. "An improved time reversal method for diagnostics of composite plates using Lamb waves" . | COMPOSITE STRUCTURES 190 (2018) : 10-19 .
APA Huang, Liping , Zeng, Liang , Lin, Jing , Luo, Zhi . An improved time reversal method for diagnostics of composite plates using Lamb waves . | COMPOSITE STRUCTURES , 2018 , 190 , 10-19 .
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Baseline-free damage detection in composite plates based on the reciprocity principle EI SCIE Scopus
期刊论文 | 2018 , 27 (1) | SMART MATERIALS AND STRUCTURES
WoS CC Cited Count: 1 SCOPUS Cited Count: 1
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Abstract :

Lamb wave based damage detection techniques have been widely used in composite structures. In particular, these techniques usually rely on reference signals, which are significantly influenced by the operational and environmental conditions. To solve this issue, this paper presents a baseline-free damage inspection method based on the reciprocity principle. If a localized nonlinear scatterer exists along the wave path, the reciprocity breaks down. Through estimating the loss of reciprocity, the delamination could be detected. A reciprocity index (RI), which compares the discrepancy between the signal received in transducer B when emitting from transducer A and the signal received in A when the same source is located in B, is established to quantitatively analyze the reciprocity. Experimental results show that the RI value of a damaged path is much higher than that of a healthy path. In addition, the effects of the parameters of excitation signal (i.e., central frequency and bandwidth) and the position of delamination on the RI value are discussed. Furthermore, a RI based probabilistic imaging algorithm is proposed for detecting delamination damage of composite plates without reference signals. Finally, the effectiveness of this baseline-free damage detection method is validated by an experimental example.

Keyword :

reciprocity principle baseline-free delamination nonlinear scatterer composite

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GB/T 7714 Huang, Liping , Zeng, Liang , Lin, Jing . Baseline-free damage detection in composite plates based on the reciprocity principle [J]. | SMART MATERIALS AND STRUCTURES , 2018 , 27 (1) .
MLA Huang, Liping et al. "Baseline-free damage detection in composite plates based on the reciprocity principle" . | SMART MATERIALS AND STRUCTURES 27 . 1 (2018) .
APA Huang, Liping , Zeng, Liang , Lin, Jing . Baseline-free damage detection in composite plates based on the reciprocity principle . | SMART MATERIALS AND STRUCTURES , 2018 , 27 (1) .
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Improving the resolution for Lamb wave testing via a smoothed Capon algorithm EI SCIE Scopus
期刊论文 | 2018 , 29 (4) | MEASUREMENT SCIENCE AND TECHNOLOGY
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Abstract :

Lamb wave testing is promising for damage detection and evaluation in large-area structures. The dispersion of Lamb waves is often unavoidable, restricting testing resolution and making the signal hard to interpret. A smoothed Capon algorithm is proposed in this paper to estimate the accurate path length of each wave packet. In the algorithm, frequency domain whitening is firstly used to obtain the transfer function in the bandwidth of the excitation pulse. Subsequently, wavenumber domain smoothing is employed to reduce the correlation between wave packets. Finally, the path lengths are determined by distance domain searching based on the Capon algorithm. Simulations are applied to optimize the number of smoothing times. Experiments are performed on an aluminum plate consisting of two simulated defects. The results demonstrate that spatial resolution is improved significantly by the proposed algorithm.

Keyword :

dispersion smoothed Capon algorithm Lamb wave high resolution

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GB/T 7714 Cao, Xuwei , Zeng, Liang , Lin, Jing et al. Improving the resolution for Lamb wave testing via a smoothed Capon algorithm [J]. | MEASUREMENT SCIENCE AND TECHNOLOGY , 2018 , 29 (4) .
MLA Cao, Xuwei et al. "Improving the resolution for Lamb wave testing via a smoothed Capon algorithm" . | MEASUREMENT SCIENCE AND TECHNOLOGY 29 . 4 (2018) .
APA Cao, Xuwei , Zeng, Liang , Lin, Jing , Hua, Jiadong . Improving the resolution for Lamb wave testing via a smoothed Capon algorithm . | MEASUREMENT SCIENCE AND TECHNOLOGY , 2018 , 29 (4) .
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Damage assessment in composite laminates via broadband Lamb wave EI SCIE PubMed Scopus
期刊论文 | 2018 , 86 , 49-58 | ULTRASONICS
SCOPUS Cited Count: 1
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Abstract :

Time of flight (ToF) based method for damage detection using Lamb waves is widely used. However, due to the energy dissipation of Lamb waves and the non-ignorable size of damage in composite structure, the performance of damage detection is restricted. The objective of this research is to establish an improved method to locate and assess damages in composite structure. To choose appropriate excitation parameters, the propagation characters of Lamb waves in quasi-isotropic composite laminates are firstly studied and the broadband excitation is designed. Subsequently, the pulse compression technique is adopted for energy concentration and high-accuracy distance estimation. On this basis, the gravity center of intersections of path loci is employed for damage localization and the convex envelop of identified damage edge points is taken for damage contour estimation. As a result, both damage location and size can be evaluated, thereby providing the information for quantitative damage detection. The experiment consisting of five different sizes of damage is carried for method verification and the identified results show the efficiency of the proposed method. (C) 2018 Elsevier B.V. All rights reserved.

Keyword :

Pulse compression Composite laminates Size evaluation Damage localization Lamb wave

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GB/T 7714 Gao, Fei , Zeng, Liang , Lin, Jing et al. Damage assessment in composite laminates via broadband Lamb wave [J]. | ULTRASONICS , 2018 , 86 : 49-58 .
MLA Gao, Fei et al. "Damage assessment in composite laminates via broadband Lamb wave" . | ULTRASONICS 86 (2018) : 49-58 .
APA Gao, Fei , Zeng, Liang , Lin, Jing , Shao, Yongsheng . Damage assessment in composite laminates via broadband Lamb wave . | ULTRASONICS , 2018 , 86 , 49-58 .
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