Application of information fusion techniques on fault detection and diagnosis

Bin Li; Weiguo Zhang

doi:10.1109/WCICA.2006.1714150

Application of information fusion techniques on fault detection and diagnosis

Bin Li, Weiguo Zhang

School of Automation

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

In order to improve the reliability of fault detection and diagnosis (FDD) for material test machine, it is important to make full use of the information from being test material knowledge and material measurements. This paper presents an application of information fusion in FDD. In the proposed method, the fusion adopts multiple FDD strategies aiming at Angle signals and torque signals etc of the system, then the results of these strategies are fused. Through regression analysis on the fused data, the information fusion techniques are showed to be practical and effective.

Original language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	5619-5622
Number of pages	4
DOIs	https://doi.org/10.1109/WCICA.2006.1714150
State	Published - 2006
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: 21 Jun 2006 → 23 Jun 2006

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2

Conference

Conference	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/Territory	China
City	Dalian
Period	21/06/06 → 23/06/06

Keywords

Fault detection and diagnosis (FDD)
Information fusion
Regression analysis

Access to Document

10.1109/WCICA.2006.1714150

Cite this

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title = "Application of information fusion techniques on fault detection and diagnosis",

abstract = "In order to improve the reliability of fault detection and diagnosis (FDD) for material test machine, it is important to make full use of the information from being test material knowledge and material measurements. This paper presents an application of information fusion in FDD. In the proposed method, the fusion adopts multiple FDD strategies aiming at Angle signals and torque signals etc of the system, then the results of these strategies are fused. Through regression analysis on the fused data, the information fusion techniques are showed to be practical and effective.",

keywords = "Fault detection and diagnosis (FDD), Information fusion, Regression analysis",

author = "Bin Li and Weiguo Zhang",

year = "2006",

doi = "10.1109/WCICA.2006.1714150",

language = "英语",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "5619--5622",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

Li, B & Zhang, W 2006, Application of information fusion techniques on fault detection and diagnosis. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1714150, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2, pp. 5619-5622, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 21/06/06. https://doi.org/10.1109/WCICA.2006.1714150

Application of information fusion techniques on fault detection and diagnosis. / Li, Bin; Zhang, Weiguo.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. p. 5619-5622 1714150 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2).

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

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AU - Li, Bin

AU - Zhang, Weiguo

PY - 2006

Y1 - 2006

N2 - In order to improve the reliability of fault detection and diagnosis (FDD) for material test machine, it is important to make full use of the information from being test material knowledge and material measurements. This paper presents an application of information fusion in FDD. In the proposed method, the fusion adopts multiple FDD strategies aiming at Angle signals and torque signals etc of the system, then the results of these strategies are fused. Through regression analysis on the fused data, the information fusion techniques are showed to be practical and effective.

AB - In order to improve the reliability of fault detection and diagnosis (FDD) for material test machine, it is important to make full use of the information from being test material knowledge and material measurements. This paper presents an application of information fusion in FDD. In the proposed method, the fusion adopts multiple FDD strategies aiming at Angle signals and torque signals etc of the system, then the results of these strategies are fused. Through regression analysis on the fused data, the information fusion techniques are showed to be practical and effective.

KW - Fault detection and diagnosis (FDD)

KW - Information fusion

KW - Regression analysis

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DO - 10.1109/WCICA.2006.1714150

M3 - 会议稿件

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SN - 9781424403325

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006

Y2 - 21 June 2006 through 23 June 2006

ER -

Application of information fusion techniques on fault detection and diagnosis

Abstract

Publication series

Conference

Keywords

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