Author:
Zhu Wenlong,Zhou Jianzhong,Xia Xin,Li Chaoshun,Xiao Jian,Xiao Han,Zhang Xinxin
Funder
National Natural Science Foundation of China
Specialized Research Fund for the Doctoral Program of Higher Education of China
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference35 articles.
1. Intelligent fault diagnosis system of induction motor based on transient current signal;Widodo;Mechatronics,2009
2. Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines;Zhang;Mech. Syst. Signal Process.,2013
3. Xu Yangwen, Study on fault diagnosis of rotating machinery based on wavelet neural network, in: International Conference on Information Technology and Computer Science, 2009, ITCS 2009, vol. 2, IEEE, 2009.
4. A looseness identification approach for rotating machinery based on post-processing of ensemble empirical mode decomposition and autoregressive modeling;Wu;J. Vib. Control,2012
5. X.L. An et al., Vibration fault diagnosis for hydraulic generator units with pattern recognition and cluster analysis. Wireless Communications, Networking and Mobile Computing, 2008. WiCOM’08. 4th International Conference on. IEEE, 2008.
Cited by
44 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献