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Title: Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE), Power Systems Engineering Research and Development (R&D) (OE-10)
OSTI Identifier:
1548707
Grant/Contract Number:  
2016YFB1200506-02
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Sound and Vibration
Additional Journal Information:
Journal Name: Journal of Sound and Vibration Journal Volume: 425 Journal Issue: C; Journal ID: ISSN 0022-460X
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Cheng, Yao, Zhou, Ning, Zhang, Weihua, and Wang, Zhiwei. Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis. United Kingdom: N. p., 2018. Web. doi:10.1016/j.jsv.2018.01.023.
Cheng, Yao, Zhou, Ning, Zhang, Weihua, & Wang, Zhiwei. Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis. United Kingdom. doi:10.1016/j.jsv.2018.01.023.
Cheng, Yao, Zhou, Ning, Zhang, Weihua, and Wang, Zhiwei. Sun . "Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis". United Kingdom. doi:10.1016/j.jsv.2018.01.023.
@article{osti_1548707,
title = {Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis},
author = {Cheng, Yao and Zhou, Ning and Zhang, Weihua and Wang, Zhiwei},
abstractNote = {},
doi = {10.1016/j.jsv.2018.01.023},
journal = {Journal of Sound and Vibration},
number = C,
volume = 425,
place = {United Kingdom},
year = {2018},
month = {7}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.jsv.2018.01.023

Citation Metrics:
Cited by: 7 works
Citation information provided by
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