@inproceedings{ef2d8d092a6b4de39242e2c395ea8db3,
title = "Application of MSE-EEMD method in gear fault diagnosis",
abstract = "Focus on the nonlinear and non-stationary characteristics of gear box vibration signal, the method of gear fault diagnosis based on Ensemble Empirical Mode Decomposition(EEMD) andmultiscale entropy (MSE)was proposed.The complicated signal can be decomposed into several stationary IMF components with reality meanings by EEMD which has the advantages of eliminating aliasing state of vibration signal, and the MSE can extract the fault feature from the signals effectively. The concepts of EEMD and MSE are introduced firstly, and then they are applied to measure the complexity of gearbox signals. Through the engineering application of the diagnosis on gear typical fault of different wearing degree demonstrated that the proposed method can extracting the fault feature of gear fault effectively and realize the gear fault diagnosis.",
keywords = "Ensemble empirical mode decomposition (EEMD), Fault diagnosis, Gearbox, Multiscale entropy (MSE)",
author = "Xu, \{Min Qiang\} and Li, \{Bo Yong\} and Zhao, \{Hai Yang\} and Zhang, \{Yang Si\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.530-531.261",
language = "英语",
isbn = "9783038350392",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "261--265",
booktitle = "Advances in Measurements and Information Technologies",
address = "德国",
note = "2014 International Conference on Sensors Instrument and Information Technology, ICSIIT 2014 ; Conference date: 18-01-2014 Through 19-01-2014",
}