Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach

Jinxin Wang; Shenglei Zhao; Xiuzhen Ma; Fengshou Gu

doi:10.1007/978-3-030-99075-6_30

Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach

Jinxin Wang, Shenglei Zhao, Xiuzhen Ma, Fengshou Gu

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

Abstract

Multiple faults diagnosis is a critical problem in mechanical fault diagnosis. Fault behavior analysis aims to find out the response characteristics of operating parameters under different faults and is the most primitive task for multiple faults diagnosis. This paper proposes a bond graph-based approach to analyse the mechanical fault behavior for diagnosis. The analytical model of an engineering system is firstly established via bond graph. The temporal causal graph is derived from the bond graph model to depict the analytic relationships system variables. The operating parameters response characteristics under different faults are then derived by representing the faults with abnormal change of system variables. The approach is illustrated via an engine lubrication system. The presented approach avoids time-consuming formula transformation which is necessary in mathematical model-based approach, and therefore provides an efficient for fault behavior analysis.

Original language	English
Title of host publication	Proceedings of IncoME-VI and TEPEN 2021
Subtitle of host publication	Performance Engineering and Maintenance Engineering
Editors	Hao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
Publisher	Springer, Cham
Pages	359-371
Number of pages	13
Volume	117
ISBN (Electronic)	9783030990756
ISBN (Print)	9783030990749
DOIs	https://doi.org/10.1007/978-3-030-99075-6_30
Publication status	Published - 18 Sep 2022
Event	6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Hebei University of Technology, Tianjin, China Duration: 20 Oct 2021 → 23 Oct 2021 Conference number: 6 https://tepen.net/conference/tepen2021/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	117
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
Abbreviated title	TEPEN-2021 and IncoME-VI
Country/Territory	China
City	Tianjin
Period	20/10/21 → 23/10/21
Internet address	https://tepen.net/conference/tepen2021/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Wang, J., Zhao, S., Ma, X., & Gu, F. (2022). Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach. In H. Zhang, G. Feng, H. Wang, F. Gu, & J. K. Sinha (Eds.), Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering (Vol. 117, pp. 359-371). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_30

Wang, Jinxin ; Zhao, Shenglei ; Ma, Xiuzhen et al. / Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis : A Bond Graph-Based Approach. Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. editor / Hao Zhang ; Guojin Feng ; Hongjun Wang ; Fengshou Gu ; Jyoti K. Sinha. Vol. 117 Springer, Cham, 2022. pp. 359-371 (Mechanisms and Machine Science).

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title = "Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach",

abstract = "Multiple faults diagnosis is a critical problem in mechanical fault diagnosis. Fault behavior analysis aims to find out the response characteristics of operating parameters under different faults and is the most primitive task for multiple faults diagnosis. This paper proposes a bond graph-based approach to analyse the mechanical fault behavior for diagnosis. The analytical model of an engineering system is firstly established via bond graph. The temporal causal graph is derived from the bond graph model to depict the analytic relationships system variables. The operating parameters response characteristics under different faults are then derived by representing the faults with abnormal change of system variables. The approach is illustrated via an engine lubrication system. The presented approach avoids time-consuming formula transformation which is necessary in mathematical model-based approach, and therefore provides an efficient for fault behavior analysis.",

keywords = "Bond graph, Engine lubrication system, Fault behavior analysis, Multiple faults diagnosis, Temporal causal graph",

author = "Jinxin Wang and Shenglei Zhao and Xiuzhen Ma and Fengshou Gu",

note = "Funding Information: Acknowledgements This work was supported by the Fundamental Research Funds for the Central Universities (Grant No: 2021QN1089). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021, TEPEN-2021 and IncoME-VI ; Conference date: 20-10-2021 Through 23-10-2021",

year = "2022",

month = sep,

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doi = "10.1007/978-3-030-99075-6_30",

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Wang, J, Zhao, S, Ma, X & Gu, F 2022, Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach. in H Zhang, G Feng, H Wang, F Gu & JK Sinha (eds), Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. vol. 117, Mechanisms and Machine Science, vol. 117, Springer, Cham, pp. 359-371, 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021, Tianjin, China, 20/10/21. https://doi.org/10.1007/978-3-030-99075-6_30

Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis : A Bond Graph-Based Approach. / Wang, Jinxin; Zhao, Shenglei; Ma, Xiuzhen et al.

Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. ed. / Hao Zhang; Guojin Feng; Hongjun Wang; Fengshou Gu; Jyoti K. Sinha. Vol. 117 Springer, Cham, 2022. p. 359-371 (Mechanisms and Machine Science; Vol. 117).

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

TY - GEN

T1 - Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis

T2 - 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021

AU - Wang, Jinxin

AU - Zhao, Shenglei

AU - Ma, Xiuzhen

AU - Gu, Fengshou

N1 - Conference code: 6

PY - 2022/9/18

Y1 - 2022/9/18

N2 - Multiple faults diagnosis is a critical problem in mechanical fault diagnosis. Fault behavior analysis aims to find out the response characteristics of operating parameters under different faults and is the most primitive task for multiple faults diagnosis. This paper proposes a bond graph-based approach to analyse the mechanical fault behavior for diagnosis. The analytical model of an engineering system is firstly established via bond graph. The temporal causal graph is derived from the bond graph model to depict the analytic relationships system variables. The operating parameters response characteristics under different faults are then derived by representing the faults with abnormal change of system variables. The approach is illustrated via an engine lubrication system. The presented approach avoids time-consuming formula transformation which is necessary in mathematical model-based approach, and therefore provides an efficient for fault behavior analysis.

AB - Multiple faults diagnosis is a critical problem in mechanical fault diagnosis. Fault behavior analysis aims to find out the response characteristics of operating parameters under different faults and is the most primitive task for multiple faults diagnosis. This paper proposes a bond graph-based approach to analyse the mechanical fault behavior for diagnosis. The analytical model of an engineering system is firstly established via bond graph. The temporal causal graph is derived from the bond graph model to depict the analytic relationships system variables. The operating parameters response characteristics under different faults are then derived by representing the faults with abnormal change of system variables. The approach is illustrated via an engine lubrication system. The presented approach avoids time-consuming formula transformation which is necessary in mathematical model-based approach, and therefore provides an efficient for fault behavior analysis.

KW - Bond graph

KW - Engine lubrication system

KW - Fault behavior analysis

KW - Multiple faults diagnosis

KW - Temporal causal graph

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DO - 10.1007/978-3-030-99075-6_30

M3 - Conference contribution

AN - SCOPUS:85138772990

SN - 9783030990749

VL - 117

T3 - Mechanisms and Machine Science

SP - 359

EP - 371

BT - Proceedings of IncoME-VI and TEPEN 2021

A2 - Zhang, Hao

A2 - Feng, Guojin

A2 - Wang, Hongjun

A2 - Gu, Fengshou

A2 - Sinha, Jyoti K.

PB - Springer, Cham

Y2 - 20 October 2021 through 23 October 2021

ER -

Wang J, Zhao S, Ma X, Gu F. Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach. In Zhang H, Feng G, Wang H, Gu F, Sinha JK, editors, Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. Vol. 117. Springer, Cham. 2022. p. 359-371. (Mechanisms and Machine Science). Epub 2022 Sep 18. doi: 10.1007/978-3-030-99075-6_30

Analysing the Fault Behavior of a Complex Mechanical System for Diagnosis: A Bond Graph-Based Approach

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