Author:
Niu Guangxing,Wang Xuan,Golda Michael,Mastro Stephen,Zhang Bin
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference39 articles.
1. B. Zhang, G. Georgoulas, M. Orchard, A. Saxena, D. Brown, G. Vachtsevanos, S. Liang, Rolling element bearing feature extraction and anomaly detection based on vibration monitoring, in: Control and Automation, 2008 16th Mediterranean Conference on, IEEE, 2008, 1792–1797.
2. Y. Wang, B. Tang, Y. Qin, T. Huang, Rolling Bearing Fault Detection of Civil Aircraft Engine Based on Adaptive Estimation of Instantaneous Angular Speed, IEEE Transactions on Industrial Informatics.
3. Time-varying and multiresolution envelope analysis and discriminative feature analysis for bearing fault diagnosis;Kang;IEEE Transactions on Industrial Electronics,2015
4. Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method;Zhao;Mechanical Systems and Signal Processing,2013
5. W. Deng, S. Zhang, H. Zhao, X. Yang, A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing, IEEE Access.
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