Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph

Chang Boon Low; Danwei Wang; Shai Arogeti; Jing Bing Zhang

doi:10.3182/20080706-5-KR-1001.2730

Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph

Chang Boon Low, Danwei Wang, Shai Arogeti, Jing Bing Zhang

Department of Mechanical Engineering

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

31 Scopus citations

Abstract

In part I of this work, we lay a foundation for quantitative bond graph-based FDI design of hybrid systems using hybrid bond graph (HBG). We discussed the causality properties of HBG from FDI perspectives, and proposed the concept of Diagnostic Hybrid Bond graph (DHBG) which is advantageous for efficient and effective FDI applications. Part II presents a continuation of our previous paper [1]. In this part II of our work, we exploit the DHBG to analyze the systems fault monitoring ability. Additionally, we proposed a quantitative FDI framework for effective fault diagnosis for hybrid systems.

Original language	English
Title of host publication	Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition	1 PART 1
DOIs	https://doi.org/10.3182/20080706-5-KR-1001.2730
State	Published - 1 Dec 2008
Event	17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of Duration: 6 Jul 2008 → 11 Jul 2008

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Number	1 PART 1
Volume	17
ISSN (Print)	1474-6670

Conference

Conference	17th World Congress, International Federation of Automatic Control, IFAC
Country/Territory	Korea, Republic of
City	Seoul
Period	6/07/08 → 11/07/08

Keywords

Diagnosis and self-diagnosis
Mechatronic systems

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.3182/20080706-5-KR-1001.2730

Cite this

Low, C. B., Wang, D., Arogeti, S., & Zhang, J. B. (2008). Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph. In Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC (1 PART 1 ed.). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 17, No. 1 PART 1). https://doi.org/10.3182/20080706-5-KR-1001.2730

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title = "Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph",

abstract = "In part I of this work, we lay a foundation for quantitative bond graph-based FDI design of hybrid systems using hybrid bond graph (HBG). We discussed the causality properties of HBG from FDI perspectives, and proposed the concept of Diagnostic Hybrid Bond graph (DHBG) which is advantageous for efficient and effective FDI applications. Part II presents a continuation of our previous paper [1]. In this part II of our work, we exploit the DHBG to analyze the systems fault monitoring ability. Additionally, we proposed a quantitative FDI framework for effective fault diagnosis for hybrid systems.",

keywords = "Diagnosis and self-diagnosis, Mechatronic systems",

author = "Low, {Chang Boon} and Danwei Wang and Shai Arogeti and Zhang, {Jing Bing}",

note = "Funding Information: This work was supported by A*STAR SERC Grant No 0521160078, Singapore.; 17th World Congress, International Federation of Automatic Control, IFAC ; Conference date: 06-07-2008 Through 11-07-2008",

year = "2008",

month = dec,

day = "1",

doi = "10.3182/20080706-5-KR-1001.2730",

language = "English",

isbn = "9783902661005",

series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

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Low, CB, Wang, D, Arogeti, S & Zhang, JB 2008, Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph. in Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC. 1 PART 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 1 PART 1, vol. 17, 17th World Congress, International Federation of Automatic Control, IFAC, Seoul, Korea, Republic of, 6/07/08. https://doi.org/10.3182/20080706-5-KR-1001.2730

Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph. / Low, Chang Boon; Wang, Danwei; Arogeti, Shai et al.
Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC. 1 PART 1. ed. 2008. (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 17, No. 1 PART 1).

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

TY - GEN

T1 - Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph

AU - Low, Chang Boon

AU - Wang, Danwei

AU - Arogeti, Shai

AU - Zhang, Jing Bing

N1 - Funding Information: This work was supported by A*STAR SERC Grant No 0521160078, Singapore.

PY - 2008/12/1

Y1 - 2008/12/1

N2 - In part I of this work, we lay a foundation for quantitative bond graph-based FDI design of hybrid systems using hybrid bond graph (HBG). We discussed the causality properties of HBG from FDI perspectives, and proposed the concept of Diagnostic Hybrid Bond graph (DHBG) which is advantageous for efficient and effective FDI applications. Part II presents a continuation of our previous paper [1]. In this part II of our work, we exploit the DHBG to analyze the systems fault monitoring ability. Additionally, we proposed a quantitative FDI framework for effective fault diagnosis for hybrid systems.

AB - In part I of this work, we lay a foundation for quantitative bond graph-based FDI design of hybrid systems using hybrid bond graph (HBG). We discussed the causality properties of HBG from FDI perspectives, and proposed the concept of Diagnostic Hybrid Bond graph (DHBG) which is advantageous for efficient and effective FDI applications. Part II presents a continuation of our previous paper [1]. In this part II of our work, we exploit the DHBG to analyze the systems fault monitoring ability. Additionally, we proposed a quantitative FDI framework for effective fault diagnosis for hybrid systems.

KW - Diagnosis and self-diagnosis

KW - Mechatronic systems

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U2 - 10.3182/20080706-5-KR-1001.2730

DO - 10.3182/20080706-5-KR-1001.2730

M3 - Conference contribution

AN - SCOPUS:79961018399

SN - 9783902661005

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

BT - Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC

T2 - 17th World Congress, International Federation of Automatic Control, IFAC

Y2 - 6 July 2008 through 11 July 2008

ER -

Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph

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Keywords

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