Randomness complexity as a family feature of rolling bearings’ degradation
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Hong-ru Li | Yaolong Li | Bing Wang | He Yu
[1] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[2] Abraham Lempel,et al. On the Complexity of Finite Sequences , 1976, IEEE Trans. Inf. Theory.
[3] Thomas M. Cover,et al. Some equivalences between Shannon entropy and Kolmogorov complexity , 1978, IEEE Trans. Inf. Theory.
[4] S M Pincus,et al. Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[5] J. Guyader,et al. Routes To Chaos In Ball Bearings , 1993 .
[6] A. Shiryayev. On Tables of Random Numbers , 1993 .
[7] P E Rapp,et al. Complexity measures in molecular psychiatry. , 1996, Molecular psychiatry.
[8] Fang Chen,et al. A New Measurement of Complexity for Studying EEG Mutual Information , 1998, ICONIP.
[9] N. Tandon,et al. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings , 1999 .
[10] Tanya Schmah,et al. DYNAMICAL ANALYSIS IN CLINICAL PRACTICE , 2000 .
[11] O. Prakash,et al. EFFECT OF RADIAL INTERNAL CLEARANCE OF A BALL BEARING ON THE DYNAMICS OF A BALANCED HORIZONTAL ROTOR , 2000 .
[12] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[13] Thomas R. Kurfess,et al. Rolling element bearing diagnostics in run-to-failure lifetime testing , 2001 .
[14] B. Pompe,et al. Permutation entropy: a natural complexity measure for time series. , 2002, Physical review letters.
[15] Robert X. Gao,et al. Complexity as a measure for machine health evaluation , 2004, IEEE Transactions on Instrumentation and Measurement.
[16] Madalena Costa,et al. Multiscale entropy analysis of biological signals. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[17] Yang Yu,et al. A roller bearing fault diagnosis method based on EMD energy entropy and ANN , 2006 .
[18] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[19] Hai Qiu,et al. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics , 2006 .
[20] Daming Lin,et al. A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .
[21] Wangxin Yu,et al. Characterization of Surface EMG Signal Based on Fuzzy Entropy , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[22] Robert X. Gao,et al. Mechanical Systems and Signal Processing Approximate Entropy as a Diagnostic Tool for Machine Health Monitoring , 2006 .
[23] Bin Zhang,et al. Rolling element bearing feature extraction and anomaly detection based on vibration monitoring , 2008, 2008 16th Mediterranean Conference on Control and Automation.
[24] Jie Sun,et al. Convergence of C0 Complexity , 2009, Int. J. Bifurc. Chaos.
[25] Y N Pan,et al. Spectral entropy: A complementary index for rolling element bearing performance degradation assessment , 2009 .
[26] Bin Zhang,et al. A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection , 2011, IEEE Transactions on Industrial Electronics.
[27] Robert B. Randall,et al. Rolling element bearing diagnostics—A tutorial , 2011 .
[28] Brigitte Chebel-Morello,et al. PRONOSTIA : An experimental platform for bearings accelerated degradation tests. , 2012 .
[29] Ruqiang Yan,et al. Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines , 2012 .
[30] Lin Liang,et al. Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method , 2013 .
[31] Jinde Zheng,et al. A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy , 2013 .
[32] E. Jantunen,et al. A descriptive model of wear evolution in rolling bearings , 2014 .
[33] Paolo Pennacchi,et al. The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings , 2014 .
[34] Idriss El-Thalji,et al. A summary of fault modelling and predictive health monitoring of rolling element bearings , 2015 .
[35] Noureddine Zerhouni,et al. Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics , 2015, IEEE Transactions on Industrial Electronics.
[36] Đani Juričić,et al. Bearing fault prognostics using Rényi entropy based features and Gaussian process models , 2015 .
[37] Ming Liang,et al. Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications , 2016 .
[38] Meng Sun,et al. A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing , 2016, Entropy.
[39] Bing Wang,et al. Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means , 2017 .
[40] Peng Chen,et al. An Automatic Filtering Method Based on an Improved Genetic Algorithm—With Application to Rolling Bearing Fault Signal Extraction , 2017, IEEE Sensors Journal.
[41] Bing Wang,et al. The application of a general mathematical morphological particle as a novel indicator for the performance degradation assessment of a bearing , 2017 .
[42] Bernardo Spagnolo,et al. Nonlinear Relaxation Phenomena in Metastable Condensed Matter Systems , 2016, Entropy.
[43] Wu Deng,et al. A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing , 2018, IEEE Access.
[44] Shulin Liu,et al. Numerical analysis of the dynamic behavior of a rotor-bearing-brush seal system with bristle interference , 2019, Journal of Mechanical Science and Technology.