Research and application of improved adaptive MOMEDA fault diagnosis method-Reference-Cited by-同舟云学术

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Research and application of improved adaptive MOMEDA fault diagnosis method

Published:2019-07 Issue: Volume:140 Page:63-75
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Zhijian,Du Wenhua,Wang Junyuan,Zhou Jie,Han Xiaofeng,Zhang Ziying,Huang Lei

Funder

Shanxi Provincial Natural Science Foundation of China

Science Foundation of the North University of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference24 articles.

1. Application ofa novel hybrid intelligent method to compound fault diagnosis of locomotive roller bearings;Yaguo;ASME Trans. J. Vib. Acoust.,2008

2. Compound rub malfunctions feature extraction based on full-spectrum cascade analysis and svm;Fengqi;Mech. Syst. Sig. Process.,2006

3. Identification of multiple transient faults based on the adaptive spectral kurtosis method;Wang;J. Sound Vib.,2012

4. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis;Huang;Proc. R. Soc. Lond. A,1998

5. Ensemble empirical mode decomposition: a noise assisted date analysis method;Wu;Adv. Adaptive Data Anal.,2009

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