Gear pitting corrosion fault diagnosis based on local mean decomposition

Yanong Chen; Tian He; Denghong Xiao; Haitao Cui

doi:10.4028/www.scientific.net/AMR.562-564.812

Gear pitting corrosion fault diagnosis based on local mean decomposition

Yanong Chen^*
, Tian He
, Denghong Xiao
, Haitao Cui

^*Corresponding author for this work

School of Transportation Science and Engineering

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

1 Scopus citations

Abstract

The local mean decomposition (LMD), a new adaptive time-frequency analysis method, is the research focus in the fault diagnosis field in recent years. In this paper, the LMD's characteristics are obtained by processing multi-component frequency and amplitude modulation signal, which are usually used to describe the gear pitting corrosion fault signals. Base on the simulation analysis, LMD is presented to deal with the vibration signals of gear pitting corrosion fault, comparing with traditional method. The results show that the gear pitting corrosion defect can be diagnosed by LMD effectively, and LMD can eliminate the false composition effect, thus improving the accuracy of gear fault diagnosis.

Original language	English
Title of host publication	Materials Engineering and Automatic Control
Pages	812-815
Number of pages	4
DOIs	https://doi.org/10.4028/www.scientific.net/AMR.562-564.812
State	Published - 2012
Event	2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012 - Jinan, China Duration: 27 Apr 2012 → 29 Apr 2012

Publication series

Name	Advanced Materials Research
Volume	562-564
ISSN (Print)	1022-6680

Conference

Conference	2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012
Country/Territory	China
City	Jinan
Period	27/04/12 → 29/04/12

Keywords

Fault diagnosis
Gear pitting corrosion
Local mean decomposition

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10.4028/www.scientific.net/AMR.562-564.812

Cite this

@inproceedings{97244d030b404cbc92ddc95bdaafa00c,

title = "Gear pitting corrosion fault diagnosis based on local mean decomposition",

abstract = "The local mean decomposition (LMD), a new adaptive time-frequency analysis method, is the research focus in the fault diagnosis field in recent years. In this paper, the LMD's characteristics are obtained by processing multi-component frequency and amplitude modulation signal, which are usually used to describe the gear pitting corrosion fault signals. Base on the simulation analysis, LMD is presented to deal with the vibration signals of gear pitting corrosion fault, comparing with traditional method. The results show that the gear pitting corrosion defect can be diagnosed by LMD effectively, and LMD can eliminate the false composition effect, thus improving the accuracy of gear fault diagnosis.",

keywords = "Fault diagnosis, Gear pitting corrosion, Local mean decomposition",

author = "Yanong Chen and Tian He and Denghong Xiao and Haitao Cui",

year = "2012",

doi = "10.4028/www.scientific.net/AMR.562-564.812",

language = "英语",

isbn = "9783037854587",

series = "Advanced Materials Research",

pages = "812--815",

booktitle = "Materials Engineering and Automatic Control",

note = "2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012 ; Conference date: 27-04-2012 Through 29-04-2012",

}

Chen, Y, He, T, Xiao, D & Cui, H 2012, Gear pitting corrosion fault diagnosis based on local mean decomposition. in Materials Engineering and Automatic Control. Advanced Materials Research, vol. 562-564, pp. 812-815, 2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012, Jinan, China, 27/04/12. https://doi.org/10.4028/www.scientific.net/AMR.562-564.812

TY - GEN

T1 - Gear pitting corrosion fault diagnosis based on local mean decomposition

AU - Chen, Yanong

AU - He, Tian

AU - Xiao, Denghong

AU - Cui, Haitao

PY - 2012

Y1 - 2012

N2 - The local mean decomposition (LMD), a new adaptive time-frequency analysis method, is the research focus in the fault diagnosis field in recent years. In this paper, the LMD's characteristics are obtained by processing multi-component frequency and amplitude modulation signal, which are usually used to describe the gear pitting corrosion fault signals. Base on the simulation analysis, LMD is presented to deal with the vibration signals of gear pitting corrosion fault, comparing with traditional method. The results show that the gear pitting corrosion defect can be diagnosed by LMD effectively, and LMD can eliminate the false composition effect, thus improving the accuracy of gear fault diagnosis.

AB - The local mean decomposition (LMD), a new adaptive time-frequency analysis method, is the research focus in the fault diagnosis field in recent years. In this paper, the LMD's characteristics are obtained by processing multi-component frequency and amplitude modulation signal, which are usually used to describe the gear pitting corrosion fault signals. Base on the simulation analysis, LMD is presented to deal with the vibration signals of gear pitting corrosion fault, comparing with traditional method. The results show that the gear pitting corrosion defect can be diagnosed by LMD effectively, and LMD can eliminate the false composition effect, thus improving the accuracy of gear fault diagnosis.

KW - Fault diagnosis

KW - Gear pitting corrosion

KW - Local mean decomposition

UR - https://www.scopus.com/pages/publications/84867325225

U2 - 10.4028/www.scientific.net/AMR.562-564.812

DO - 10.4028/www.scientific.net/AMR.562-564.812

M3 - 会议稿件

AN - SCOPUS:84867325225

SN - 9783037854587

T3 - Advanced Materials Research

SP - 812

EP - 815

BT - Materials Engineering and Automatic Control

T2 - 2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012

Y2 - 27 April 2012 through 29 April 2012

ER -

Gear pitting corrosion fault diagnosis based on local mean decomposition

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