The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements

Xiaoqiang Zhu; Jingzhong Fang; Maiying Zhong; Yang Liu

doi:10.1109/SAFEPROCESS45799.2019.9213312

The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements

Xiaoqiang Zhu, Jingzhong Fang, Maiying Zhong, Yang Liu

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

Abstract

In this work, we investigate the fault detection (FD) problem based on parity space for linear discrete time systems with integral measurements. The traditional parity space-based FD method is no longer applicable to the systems with integral measurements. The transfer matrices need to be redesigned to make the traditional parity relation still hold. Moreover, an algorithm is also provided to compute the transfer matrices and the singular value decomposition (SVD) is used to design the parity space matrices. Finally, an illustrative example about a three-tank system is demonstrated the availability of our proposed approach.

Original language	English
Title of host publication	Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes
Subtitle of host publication	SAFEPROCESS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	18-22
Number of pages	5
ISBN (Electronic)	9781728106816
ISBN (Print)	9781728106823
DOIs	https://doi.org/10.1109/SAFEPROCESS45799.2019.9213312
Publication status	Published - 6 Oct 2020
Externally published	Yes
Event	11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes - Xiamen, China Duration: 5 Jul 2019 → 7 Jul 2019 Conference number: 11 https://search.worldcat.org/title/proceedings-of-2019-11th-caa-symposium-on-fault-detection-supervision-and-safety-for-technical-processes-caa-safeprocess-2019-xiamen-china-july-05-07-2019/oclc/1224926061

Conference

Conference	11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes
Abbreviated title	CAA SAFEPROCESS 2019
Country/Territory	China
City	Xiamen
Period	5/07/19 → 7/07/19
Internet address	https://search.worldcat.org/title/proceedings-of-2019-11th-caa-symposium-on-fault-detection-supervision-and-safety-for-technical-processes-caa-safeprocess-2019-xiamen-china-july-05-07-2019/oclc/1224926061

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10.1109/SAFEPROCESS45799.2019.9213312Licence: Unspecified

Cite this

Zhu, X., Fang, J., Zhong, M., & Liu, Y. (2020). The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements. In Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes: SAFEPROCESS 2019 (pp. 18-22). [9213312] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAFEPROCESS45799.2019.9213312

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title = "The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements",

abstract = "In this work, we investigate the fault detection (FD) problem based on parity space for linear discrete time systems with integral measurements. The traditional parity space-based FD method is no longer applicable to the systems with integral measurements. The transfer matrices need to be redesigned to make the traditional parity relation still hold. Moreover, an algorithm is also provided to compute the transfer matrices and the singular value decomposition (SVD) is used to design the parity space matrices. Finally, an illustrative example about a three-tank system is demonstrated the availability of our proposed approach.",

keywords = "Fault Detection, Integral Measurements, Linear Discrete Time Systems, Optimization Problem, Parity Space",

author = "Xiaoqiang Zhu and Jingzhong Fang and Maiying Zhong and Yang Liu",

note = "Funding Information: This paper was supported in part by the National Natural Science Foundation of China under Grants (61873149, 61333005 , 61733009,61703244). Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, CAA SAFEPROCESS 2019 ; Conference date: 05-07-2019 Through 07-07-2019",

year = "2020",

month = oct,

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doi = "10.1109/SAFEPROCESS45799.2019.9213312",

language = "English",

isbn = "9781728106823",

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booktitle = "Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

url = "https://search.worldcat.org/title/proceedings-of-2019-11th-caa-symposium-on-fault-detection-supervision-and-safety-for-technical-processes-caa-safeprocess-2019-xiamen-china-july-05-07-2019/oclc/1224926061",

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Zhu, X, Fang, J, Zhong, M & Liu, Y 2020, The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements. in Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes: SAFEPROCESS 2019., 9213312, Institute of Electrical and Electronics Engineers Inc., pp. 18-22, 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, Xiamen, China, 5/07/19. https://doi.org/10.1109/SAFEPROCESS45799.2019.9213312

The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements. / Zhu, Xiaoqiang; Fang, Jingzhong; Zhong, Maiying et al.

Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes: SAFEPROCESS 2019. Institute of Electrical and Electronics Engineers Inc., 2020. p. 18-22 9213312.

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

TY - GEN

T1 - The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements

AU - Zhu, Xiaoqiang

AU - Fang, Jingzhong

AU - Zhong, Maiying

AU - Liu, Yang

N1 - Conference code: 11

PY - 2020/10/6

Y1 - 2020/10/6

N2 - In this work, we investigate the fault detection (FD) problem based on parity space for linear discrete time systems with integral measurements. The traditional parity space-based FD method is no longer applicable to the systems with integral measurements. The transfer matrices need to be redesigned to make the traditional parity relation still hold. Moreover, an algorithm is also provided to compute the transfer matrices and the singular value decomposition (SVD) is used to design the parity space matrices. Finally, an illustrative example about a three-tank system is demonstrated the availability of our proposed approach.

AB - In this work, we investigate the fault detection (FD) problem based on parity space for linear discrete time systems with integral measurements. The traditional parity space-based FD method is no longer applicable to the systems with integral measurements. The transfer matrices need to be redesigned to make the traditional parity relation still hold. Moreover, an algorithm is also provided to compute the transfer matrices and the singular value decomposition (SVD) is used to design the parity space matrices. Finally, an illustrative example about a three-tank system is demonstrated the availability of our proposed approach.

KW - Fault Detection

KW - Integral Measurements

KW - Linear Discrete Time Systems

KW - Optimization Problem

KW - Parity Space

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SP - 18

EP - 22

BT - Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes

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Zhu X, Fang J, Zhong M, Liu Y. The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements. In Proceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes: SAFEPROCESS 2019. Institute of Electrical and Electronics Engineers Inc. 2020. p. 18-22. 9213312 doi: 10.1109/SAFEPROCESS45799.2019.9213312

The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements

Abstract

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