Blind source separation of rotating machinery fault signals based on fractional lower order statistics

Gang Yu; Zhidong Xiao; Changning Li

doi:10.1109/PHM.2011.5939557

Blind source separation of rotating machinery fault signals based on fractional lower order statistics

Gang Yu^*
, Zhidong Xiao
, Changning Li

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
Shenyang Ligong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Vibration signals generated from rotating machinery fault sources are essentially random processes consisting of large amount of fault impulses, which belong to a special class of statistical distribution called α stable distribution. In this paper, a blind source separation method based on the utilization of fractional lower order statistics derived from the α stable distribution is proposed for the separation of rotating machinery fault signals. Simulation experiments based on the application for the separation of bearing fault signals have shown that the proposed approach has great potential for the separation of rotating machinery fault signals.

Original language	English
Title of host publication	2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
DOIs	https://doi.org/10.1109/PHM.2011.5939557
State	Published - 2011
Externally published	Yes
Event	2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011 - Shenzhen, China Duration: 24 May 2011 → 25 May 2011

Publication series

Name	2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011

Conference

Conference	2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
Country/Territory	China
City	Shenzhen
Period	24/05/11 → 25/05/11

Keywords

blind source separation
fractional lower order statistics
rotating machinery
α stable distribution

Access to Document

10.1109/PHM.2011.5939557

Cite this

@inproceedings{a0459f8d5c264eb8b377c7812a3cde07,

title = "Blind source separation of rotating machinery fault signals based on fractional lower order statistics",

abstract = "Vibration signals generated from rotating machinery fault sources are essentially random processes consisting of large amount of fault impulses, which belong to a special class of statistical distribution called α stable distribution. In this paper, a blind source separation method based on the utilization of fractional lower order statistics derived from the α stable distribution is proposed for the separation of rotating machinery fault signals. Simulation experiments based on the application for the separation of bearing fault signals have shown that the proposed approach has great potential for the separation of rotating machinery fault signals.",

keywords = "blind source separation, fractional lower order statistics, rotating machinery, α stable distribution",

author = "Gang Yu and Zhidong Xiao and Changning Li",

year = "2011",

doi = "10.1109/PHM.2011.5939557",

language = "英语",

isbn = "9781424479511",

series = "2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011",

booktitle = "2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011",

note = "2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011 ; Conference date: 24-05-2011 Through 25-05-2011",

}

Yu, G, Xiao, Z & Li, C 2011, Blind source separation of rotating machinery fault signals based on fractional lower order statistics. in 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011., 5939557, 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011, 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011, Shenzhen, China, 24/05/11. https://doi.org/10.1109/PHM.2011.5939557

Blind source separation of rotating machinery fault signals based on fractional lower order statistics. / Yu, Gang; Xiao, Zhidong; Li, Changning.
2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011. 2011. 5939557 (2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Blind source separation of rotating machinery fault signals based on fractional lower order statistics

AU - Yu, Gang

AU - Xiao, Zhidong

AU - Li, Changning

PY - 2011

Y1 - 2011

N2 - Vibration signals generated from rotating machinery fault sources are essentially random processes consisting of large amount of fault impulses, which belong to a special class of statistical distribution called α stable distribution. In this paper, a blind source separation method based on the utilization of fractional lower order statistics derived from the α stable distribution is proposed for the separation of rotating machinery fault signals. Simulation experiments based on the application for the separation of bearing fault signals have shown that the proposed approach has great potential for the separation of rotating machinery fault signals.

AB - Vibration signals generated from rotating machinery fault sources are essentially random processes consisting of large amount of fault impulses, which belong to a special class of statistical distribution called α stable distribution. In this paper, a blind source separation method based on the utilization of fractional lower order statistics derived from the α stable distribution is proposed for the separation of rotating machinery fault signals. Simulation experiments based on the application for the separation of bearing fault signals have shown that the proposed approach has great potential for the separation of rotating machinery fault signals.

KW - blind source separation

KW - fractional lower order statistics

KW - rotating machinery

KW - α stable distribution

UR - https://www.scopus.com/pages/publications/79960917091

U2 - 10.1109/PHM.2011.5939557

DO - 10.1109/PHM.2011.5939557

M3 - 会议稿件

AN - SCOPUS:79960917091

SN - 9781424479511

T3 - 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011

BT - 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011

T2 - 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011

Y2 - 24 May 2011 through 25 May 2011

ER -

Blind source separation of rotating machinery fault signals based on fractional lower order statistics

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Keywords

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