Nonlinear fault diagnosis based on Volterra series & its application in rotor systems

Hao Tang; Liangsheng Qu; Guangrui Wen

doi:10.1109/ICINFA.2008.4608130

Nonlinear fault diagnosis based on Volterra series & its application in rotor systems

Hao Tang
, Liangsheng Qu
, Guangrui Wen

School of Mechanical Engineering

Xi'an Jiaotong University

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

1 Scopus citations

Abstract

The Volterra series theory is a general description of nonlinear systems. As its full consideration of nonlinear factors, Volterra series can show the essential characteristics of nonlinear systems. The basic theory of Volterra series is briefly introduced in this paper first. Then, generalized impulse response function (GIRF) is identified by using genetic algorithm (GA). Satisfactory identification result is achieved. Finally, this method is employed in the area of fault diagnosis for rotor-bearing systems. We investigate the changes of GIRF of rotor signals under different conditions during run-up stages. The effectiveness of the method is verified by experimental. This research of the paper provides a new way of fault diagnosis for mechanical systems.

Original language	English
Title of host publication	Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008
Pages	916-920
Number of pages	5
DOIs	https://doi.org/10.1109/ICINFA.2008.4608130
State	Published - 2008
Event	2008 IEEE International Conference on Information and Automation, ICIA 2008 - Zhangjiajie, Hunan, China Duration: 20 Jun 2008 → 23 Jun 2008

Publication series

Name	Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

Conference

Conference	2008 IEEE International Conference on Information and Automation, ICIA 2008
Country/Territory	China
City	Zhangjiajie, Hunan
Period	20/06/08 → 23/06/08

Access to Document

10.1109/ICINFA.2008.4608130

Cite this

Tang, H., Qu, L., & Wen, G. (2008). Nonlinear fault diagnosis based on Volterra series & its application in rotor systems. In Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008 (pp. 916-920). Article 4608130 (Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008). https://doi.org/10.1109/ICINFA.2008.4608130

@inproceedings{fc238dd0855a4558a6eaf93d27b0563f,

title = "Nonlinear fault diagnosis based on Volterra series \& its application in rotor systems",

abstract = "The Volterra series theory is a general description of nonlinear systems. As its full consideration of nonlinear factors, Volterra series can show the essential characteristics of nonlinear systems. The basic theory of Volterra series is briefly introduced in this paper first. Then, generalized impulse response function (GIRF) is identified by using genetic algorithm (GA). Satisfactory identification result is achieved. Finally, this method is employed in the area of fault diagnosis for rotor-bearing systems. We investigate the changes of GIRF of rotor signals under different conditions during run-up stages. The effectiveness of the method is verified by experimental. This research of the paper provides a new way of fault diagnosis for mechanical systems.",

author = "Hao Tang and Liangsheng Qu and Guangrui Wen",

year = "2008",

doi = "10.1109/ICINFA.2008.4608130",

language = "英语",

isbn = "9781424421848",

series = "Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008",

pages = "916--920",

booktitle = "Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008",

note = "2008 IEEE International Conference on Information and Automation, ICIA 2008 ; Conference date: 20-06-2008 Through 23-06-2008",

}

Tang, H, Qu, L & Wen, G 2008, Nonlinear fault diagnosis based on Volterra series & its application in rotor systems. in Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008., 4608130, Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008, pp. 916-920, 2008 IEEE International Conference on Information and Automation, ICIA 2008, Zhangjiajie, Hunan, China, 20/06/08. https://doi.org/10.1109/ICINFA.2008.4608130

Nonlinear fault diagnosis based on Volterra series & its application in rotor systems. / Tang, Hao; Qu, Liangsheng; Wen, Guangrui.
Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008. 2008. p. 916-920 4608130 (Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008).

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

TY - GEN

T1 - Nonlinear fault diagnosis based on Volterra series & its application in rotor systems

AU - Tang, Hao

AU - Qu, Liangsheng

AU - Wen, Guangrui

PY - 2008

Y1 - 2008

N2 - The Volterra series theory is a general description of nonlinear systems. As its full consideration of nonlinear factors, Volterra series can show the essential characteristics of nonlinear systems. The basic theory of Volterra series is briefly introduced in this paper first. Then, generalized impulse response function (GIRF) is identified by using genetic algorithm (GA). Satisfactory identification result is achieved. Finally, this method is employed in the area of fault diagnosis for rotor-bearing systems. We investigate the changes of GIRF of rotor signals under different conditions during run-up stages. The effectiveness of the method is verified by experimental. This research of the paper provides a new way of fault diagnosis for mechanical systems.

AB - The Volterra series theory is a general description of nonlinear systems. As its full consideration of nonlinear factors, Volterra series can show the essential characteristics of nonlinear systems. The basic theory of Volterra series is briefly introduced in this paper first. Then, generalized impulse response function (GIRF) is identified by using genetic algorithm (GA). Satisfactory identification result is achieved. Finally, this method is employed in the area of fault diagnosis for rotor-bearing systems. We investigate the changes of GIRF of rotor signals under different conditions during run-up stages. The effectiveness of the method is verified by experimental. This research of the paper provides a new way of fault diagnosis for mechanical systems.

UR - https://www.scopus.com/pages/publications/54249114423

U2 - 10.1109/ICINFA.2008.4608130

DO - 10.1109/ICINFA.2008.4608130

M3 - 会议稿件

AN - SCOPUS:54249114423

SN - 9781424421848

T3 - Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

SP - 916

EP - 920

BT - Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

T2 - 2008 IEEE International Conference on Information and Automation, ICIA 2008

Y2 - 20 June 2008 through 23 June 2008

ER -

Nonlinear fault diagnosis based on Volterra series & its application in rotor systems

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this