Wheelset bearing fault detection using morphological signal and image analysis

[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 .