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

Cheng, Yao; Zhou, Ning; Zhang, Weihua; Wang, Zhiwei

doi:10.1016/j.jsv.2018.01.023

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

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Authors:: Cheng, Yao; Zhou, Ning; Zhang, Weihua; Wang, Zhiwei

Publication Date:: Sun Jul 01 00:00:00 EDT 2018

Sponsoring Org.:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

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

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                    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.

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                    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.  https://doi.org/10.1016/j.jsv.2018.01.023

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                    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.  https://doi.org/10.1016/j.jsv.2018.01.023.

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@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         = {Sun Jul 01 00:00:00 EDT 2018},

  month        = {Sun Jul 01 00:00:00 EDT 2018}

}

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https://doi.org/10.1016/j.jsv.2018.01.023

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