Wheelset bearing fault detection using morphological signal and image analysis
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Yifan Li | Jianhui Lin | Yuejian Chen | Yuejian Chen | Xihui Liang | Zaigang Chen | Xihui Liang | Xihui Liang | Zaigang Chen | Yifan Li | Jianhui Lin | Yuejian Chen
[1] Chuan Li,et al. Continuous-scale mathematical morphology-based optimal scale band demodulation of impulsive feature for bearing defect diagnosis , 2012 .
[2] Jianfeng Ma,et al. Early fault detection method for rolling bearing based on multiscale morphological filtering of information-entropy threshold , 2019, Journal of Mechanical Science and Technology.
[3] Robert X. Gao,et al. Multi-scale enveloping order spectrogram for rotating machine health diagnosis , 2014 .
[4] P. D. McFadden,et al. Model for the vibration produced by a single point defect in a rolling element bearing , 1984 .
[5] Tianyang Wang,et al. Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis , 2014 .
[6] Daniel Cantero,et al. Railway infrastructure damage detection using wavelet transformed acceleration response of traversing vehicle , 2015 .
[7] Yifan Li,et al. Railway bearing and cardan shaft fault diagnosis via an improved morphological filter , 2019, Structural Health Monitoring.
[8] Ming J. Zuo,et al. Fault detection method for railway wheel flat using an adaptive multiscale morphological filter , 2017 .
[9] Ivan Lee,et al. Chaining Convolution and Correlation in Practice: A Case Study in Visual Tracking , 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[10] Lijun Zhang,et al. Multiscale morphology analysis and its application to fault diagnosis , 2008 .
[11] Ming-Der Yang,et al. Morphological segmentation based on edge detection for sewer pipe defects on CCTV images , 2011, Expert Syst. Appl..
[12] Ming J. Zuo,et al. Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis , 2017 .
[13] Bing Li,et al. A weighted multi-scale morphological gradient filter for rolling element bearing fault detection. , 2011, ISA transactions.
[14] Zhipeng Feng,et al. Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions , 2017 .
[15] Toshiyuki Oshima,et al. Wavelet-based technique for structural damage detection , 2009 .
[16] Xiao Long Zhang,et al. Faults diagnosis of rolling element bearings based on modified morphological method , 2011 .
[17] Jia Minping,et al. Application of CSA-VMD and optimal scale morphological slice bispectrum in enhancing outer race fault detection of rolling element bearings , 2019, Mechanical Systems and Signal Processing.
[18] Kjell G. Robbersmyr,et al. Cross-correlation of whitened vibration signals for low-speed bearing diagnostics , 2019, Mechanical Systems and Signal Processing.
[19] Zili Li,et al. Monitoring bolt tightness of rail joints using axle box acceleration measurements , 2017 .
[20] Robert B. Randall,et al. Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study , 2015 .
[21] Ming J. Zuo,et al. An enhanced morphology gradient product filter for bearing fault detection , 2018, Mechanical Systems and Signal Processing.
[22] Francesco Cadini,et al. A particle filter‐based model selection algorithm for fatigue damage identification on aeronautical structures , 2017 .
[23] J. Antoni. Fast computation of the kurtogram for the detection of transient faults , 2007 .
[24] Bin Chen,et al. Defect Detection for Wheel-Bearings with Time-Spectral Kurtosis and Entropy , 2014, Entropy.
[25] R P Williams,et al. On the formulation of convolution, autocorrelation and cross correlation , 1986 .
[26] Ling Xiang,et al. An optimal selection method for morphological filter’s parameters and its application in bearing fault diagnosis , 2016 .
[27] Rene de Jesus Romero-Troncoso,et al. Fourier transform and image processing for automatic detection of broken rotor bars in induction motors , 2018, Measurement Science and Technology.
[28] H. Dyball,et al. Current sensing noise thermometry using a low Tc DC SQUID preamplifier , 2001 .
[29] Cai Yi,et al. Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings , 2018 .
[30] Yanyang Zi,et al. Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive , 2017 .
[31] Shaopu Yang,et al. Self adaptive multi-scale morphology AVG-Hat filter and its application to fault feature extraction for wheel bearing , 2017 .
[32] Jianxin Liu,et al. Train axle bearing fault detection using a feature selection scheme based multi-scale morphological filter , 2018 .
[33] Wilson Wang,et al. A Morphological Hilbert-Huang Transform Technique for Bearing Fault Detection , 2016, IEEE Transactions on Instrumentation and Measurement.
[34] Robert B. Randall,et al. Rolling element bearing diagnostics—A tutorial , 2011 .
[35] Francesco Cadini,et al. Particle filtering‐based adaptive training of neural networks for real‐time structural damage diagnosis and prognosis , 2019, Structural Control and Health Monitoring.
[36] Yonghao Miao,et al. Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings , 2016 .
[37] Nagarajan Murali,et al. Early Classification of Bearing Faults Using Morphological Operators and Fuzzy Inference , 2013, IEEE Transactions on Industrial Electronics.
[38] Zhengjia He,et al. Wheel-bearing fault diagnosis of trains using empirical wavelet transform , 2016 .
[39] Zheng Huang,et al. Online condition monitoring of rolling stock wheels and axle bearings , 2016 .
[40] Soojin Cho,et al. Image‐based concrete crack assessment using mask and region‐based convolutional neural network , 2019, Structural Control and Health Monitoring.
[41] Haifeng Gao,et al. A hybrid fault diagnosis method using morphological filter–translation invariant wavelet and improved ensemble empirical mode decomposition , 2015 .
[42] Ioannis Antoniadis,et al. APPLICATION OF MORPHOLOGICAL OPERATORS AS ENVELOPE EXTRACTORS FOR IMPULSIVE-TYPE PERIODIC SIGNALS , 2003 .