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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
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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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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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
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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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
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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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Damage assessment in composite laminates via broadband Lamb wave EI SCIE PubMed Scopus
期刊论文 | 2018 , 86 , 49-58 | ULTRASONICS
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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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Manufacturing-error-based maintenance for high-precision machine tools EI SCIE Scopus
期刊论文 | 2018 , 95 (1-4) , 205-217 | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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Abstract :

Nowadays, the condition-based maintenance (CBM), in which repairs are triggered by the heuristic symptoms of the component faults, is finding increasing applications in the industrial fields. However, for the high-precision machine tools, the conventional CBM might not be the optimal option, which is uneconomic and incapable of ensuring their machining accuracy. In order to overcome these shortcomings, this paper propose the manufacturing-error-based maintenance (MEBM), where the repairs are initiated based on the manufacturing errors instead of the heuristic symptoms. In MEBM, repairs are taken properly at the occurrence of the excessive machining errors, and therefore, the premature and redundant maintenance can be avoided and the maintenance cost can be minimized; what is more, the machining errors are controlled in the closed loops, and therefore, the machining accuracy can be guaranteed. Based on the principles of the MEBM, a prototype maintenance system-the transient backlash error (TBE)-based maintenance system-is established. To achieve this aim, first, the width of the backlash in the mechanical chain is measured by utilizing the built-in encoders and the analytical mapping relationship between the backlash width and the TBE is derived. Relying on these foundations, the TBE can be indirectly estimated. Then, the warning threshold of the TBE is customized according to the permissible roundness error of the workpiece. Thus, the maintenance actions can be precisely implemented: when the monitored TBE exceeds its warning threshold, maintenance workers will be notified to lessen the backlash width, and meanwhile, the permissible maximal size for the backlash will also be informed.

Keyword :

Lead error Mechanical chain accuracy Backlash Maintenance Machining error CNC machine tools

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GB/T 7714 Shi, Shengyu , Lin, Jing , Xu, Xiaoqiang et al. Manufacturing-error-based maintenance for high-precision machine tools [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2018 , 95 (1-4) : 205-217 .
MLA Shi, Shengyu et al. "Manufacturing-error-based maintenance for high-precision machine tools" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 95 . 1-4 (2018) : 205-217 .
APA Shi, Shengyu , Lin, Jing , Xu, Xiaoqiang , Feng, Xiaobing , Piano, Samanta . Manufacturing-error-based maintenance for high-precision machine tools . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2018 , 95 (1-4) , 205-217 .
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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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NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter EI SCIE Scopus
期刊论文 | 2018 , 67 (4) , 3625-3629 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
SCOPUS Cited Count: 1
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Abstract :

For the sake of reducing the computational load and enhancing the implementation possibility, a dual time-scale extended Kalman filter is developed in this paper. First, a conventional multistate mathematical selective catalytic reduction (SCR) model is simplified into a single-state SCR model. This simplification would reduce the computational cost a lot. Inspired by the fact that the variation of NH3 coverage ratio between two cells changes relatively slow, then, the dual time-scale extended Kalman filter is proposed. The dual time-scales include one fast time-scale for the average NH3 coverage ratio and a slow time-scale for the difference of NH3 coverage ratios between the actual cell and the average value. In the dual time-scale scenario, it is unnecessary to estimate the NH3 coverage ratio of each SCR cell every time. Finally, simulation results for a medium-duty diesel engine through the MATLAB/SIMULINK show the proposed method has good performance and lower computational load.

Keyword :

Two-cell selective catalytic reduction computational load NH3 coverage ratio dual time-scale Kalman filter

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GB/T 7714 Jiang, Kai , Zhang, Hui , Lin, Jing . NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2018 , 67 (4) : 3625-3629 .
MLA Jiang, Kai et al. "NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 67 . 4 (2018) : 3625-3629 .
APA Jiang, Kai , Zhang, Hui , Lin, Jing . NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2018 , 67 (4) , 3625-3629 .
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A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes EI SCIE Scopus
期刊论文 | 2018 , 160 , 237-250 | KNOWLEDGE-BASED SYSTEMS
WoS CC Cited Count: 1 SCOPUS Cited Count: 3
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Abstract :

Rotary encoder signal, as the built-in position information, possesses a wide variety of advantages over vibration signal and has aroused great interest in the field of health monitoring for rotating machinery. However, there are two major issues when attempting to detect and diagnose failures with encoder information. First of all, a series of proper signal processing methods need to be designed for fault feature extraction, which largely relies on the expert experience and domain knowledge. Furthermore, existing studies primarily concentrate on a single transform, such as instantaneous angular speed, which neglects the diversity of encoder information. In view of above deficiencies, a multivariate encoder information based convolutional neural network (MEI-CNN) is proposed for intelligent diagnosis in this paper. In this framework, three different types of dynamic encoder information are firstly acquired by analyzing and processing the raw position sequence, after that multivariate encoder information (MEI) data are constructed by data fusion. Finally, a concise and effective convolutional neural network is designed to extract discriminating features and provide diagnosis results. The proposed method not only overcomes drawbacks of traditional techniques based on vibration analysis, but also provides an intelligent way to achieve satisfactory diagnosis results. The effectiveness and superiority of MEI-CNN are validated by experimental data from a planetary gearbox test rig. The results also indicate that the proposed method may offer a promising tool for intelligent diagnosis of rotating machinery.

Keyword :

Multivariate encoder information Convolutional neural network Planetary gearbox Intelligent fault diagnosis

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GB/T 7714 Jiao, Jinyang , Zhao, Ming , Lin, Jing et al. A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes [J]. | KNOWLEDGE-BASED SYSTEMS , 2018 , 160 : 237-250 .
MLA Jiao, Jinyang et al. "A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes" . | KNOWLEDGE-BASED SYSTEMS 160 (2018) : 237-250 .
APA Jiao, Jinyang , Zhao, Ming , Lin, Jing , Zhao, Jian . A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes . | KNOWLEDGE-BASED SYSTEMS , 2018 , 160 , 237-250 .
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