State assessment method of fire control system based on fusion of grey relational and D-S evidence theory

Li Yingshun; Min Zheng; Weiyan Tong; Xiaojian Yi

doi:10.1109/SDPC.2019.00034

State assessment method of fire control system based on fusion of grey relational and D-S evidence theory

Li Yingshun, Min Zheng, Weiyan Tong, Xiaojian Yi

School of Mechatronical Engineering

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

Abstract

A state assessment method based on fusion of grey correlation analysis and D-S evidence theory is proposed by taking the fire control computer and sensor subsystem of armored equipment as the research object. Firstly, the state evaluation model based on information fusion is established, and the basic knowledge of information fusion technology, D-S evidence theory and grey correlation degree are briefly introduced. Because there are many indicators in the research object and the signals are complicated to process. Therefore, the gray correlation analysis method is used to reduce the redundant index and optimize the index system. Then, the credibility distribution of each index in the reduction set is obtained, and the D-S evidence theory is used to fuse the results of the reduction to obtain the state assessment result. Finally, the gray correlation analysis method and D-S evidence theory constitute a complete information fusion system. The test results of the actual fire control system status data prove that the results are consistent with the prior knowledge, which proves the credibility of the method.

Original language	English
Title of host publication	Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
Editors	Chuan Li, Shaohui Zhang, Jianyu Long, Diego Cabrera, Ping Ding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	142-147
Number of pages	6
ISBN (Electronic)	9781728101996
DOIs	https://doi.org/10.1109/SDPC.2019.00034
Publication status	Published - Aug 2019
Event	2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 - Beijing, China Duration: 15 Aug 2019 → 17 Aug 2019

Publication series

Name	Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019

Conference

Conference	2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
Country/Territory	China
City	Beijing
Period	15/08/19 → 17/08/19

Keywords

D-S evidence theory
Fire control system
Gray correlation analysis
Information fusion technology

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10.1109/SDPC.2019.00034

Cite this

Yingshun, L., Zheng, M., Tong, W., & Yi, X. (2019). State assessment method of fire control system based on fusion of grey relational and D-S evidence theory. In C. Li, S. Zhang, J. Long, D. Cabrera, & P. Ding (Eds.), Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 (pp. 142-147). Article 9168921 (Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SDPC.2019.00034

Yingshun, Li ; Zheng, Min ; Tong, Weiyan et al. / State assessment method of fire control system based on fusion of grey relational and D-S evidence theory. Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019. editor / Chuan Li ; Shaohui Zhang ; Jianyu Long ; Diego Cabrera ; Ping Ding. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 142-147 (Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019).

@inproceedings{b48e24dd3b864315b0f25b7b455969e3,

title = "State assessment method of fire control system based on fusion of grey relational and D-S evidence theory",

abstract = "A state assessment method based on fusion of grey correlation analysis and D-S evidence theory is proposed by taking the fire control computer and sensor subsystem of armored equipment as the research object. Firstly, the state evaluation model based on information fusion is established, and the basic knowledge of information fusion technology, D-S evidence theory and grey correlation degree are briefly introduced. Because there are many indicators in the research object and the signals are complicated to process. Therefore, the gray correlation analysis method is used to reduce the redundant index and optimize the index system. Then, the credibility distribution of each index in the reduction set is obtained, and the D-S evidence theory is used to fuse the results of the reduction to obtain the state assessment result. Finally, the gray correlation analysis method and D-S evidence theory constitute a complete information fusion system. The test results of the actual fire control system status data prove that the results are consistent with the prior knowledge, which proves the credibility of the method.",

keywords = "D-S evidence theory, Fire control system, Gray correlation analysis, Information fusion technology",

author = "Li Yingshun and Min Zheng and Weiyan Tong and Xiaojian Yi",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 ; Conference date: 15-08-2019 Through 17-08-2019",

year = "2019",

month = aug,

doi = "10.1109/SDPC.2019.00034",

language = "English",

series = "Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019",

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

pages = "142--147",

editor = "Chuan Li and Shaohui Zhang and Jianyu Long and Diego Cabrera and Ping Ding",

booktitle = "Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019",

address = "United States",

}

Yingshun, L, Zheng, M, Tong, W & Yi, X 2019, State assessment method of fire control system based on fusion of grey relational and D-S evidence theory. in C Li, S Zhang, J Long, D Cabrera & P Ding (eds), Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019., 9168921, Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 142-147, 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019, Beijing, China, 15/08/19. https://doi.org/10.1109/SDPC.2019.00034

State assessment method of fire control system based on fusion of grey relational and D-S evidence theory. / Yingshun, Li; Zheng, Min; Tong, Weiyan et al.
Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019. ed. / Chuan Li; Shaohui Zhang; Jianyu Long; Diego Cabrera; Ping Ding. Institute of Electrical and Electronics Engineers Inc., 2019. p. 142-147 9168921 (Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019).

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

TY - GEN

T1 - State assessment method of fire control system based on fusion of grey relational and D-S evidence theory

AU - Yingshun, Li

AU - Zheng, Min

AU - Tong, Weiyan

AU - Yi, Xiaojian

PY - 2019/8

Y1 - 2019/8

N2 - A state assessment method based on fusion of grey correlation analysis and D-S evidence theory is proposed by taking the fire control computer and sensor subsystem of armored equipment as the research object. Firstly, the state evaluation model based on information fusion is established, and the basic knowledge of information fusion technology, D-S evidence theory and grey correlation degree are briefly introduced. Because there are many indicators in the research object and the signals are complicated to process. Therefore, the gray correlation analysis method is used to reduce the redundant index and optimize the index system. Then, the credibility distribution of each index in the reduction set is obtained, and the D-S evidence theory is used to fuse the results of the reduction to obtain the state assessment result. Finally, the gray correlation analysis method and D-S evidence theory constitute a complete information fusion system. The test results of the actual fire control system status data prove that the results are consistent with the prior knowledge, which proves the credibility of the method.

AB - A state assessment method based on fusion of grey correlation analysis and D-S evidence theory is proposed by taking the fire control computer and sensor subsystem of armored equipment as the research object. Firstly, the state evaluation model based on information fusion is established, and the basic knowledge of information fusion technology, D-S evidence theory and grey correlation degree are briefly introduced. Because there are many indicators in the research object and the signals are complicated to process. Therefore, the gray correlation analysis method is used to reduce the redundant index and optimize the index system. Then, the credibility distribution of each index in the reduction set is obtained, and the D-S evidence theory is used to fuse the results of the reduction to obtain the state assessment result. Finally, the gray correlation analysis method and D-S evidence theory constitute a complete information fusion system. The test results of the actual fire control system status data prove that the results are consistent with the prior knowledge, which proves the credibility of the method.

KW - D-S evidence theory

KW - Fire control system

KW - Gray correlation analysis

KW - Information fusion technology

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M3 - Conference contribution

AN - SCOPUS:85091534107

T3 - Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019

SP - 142

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BT - Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019

A2 - Li, Chuan

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A2 - Long, Jianyu

A2 - Cabrera, Diego

A2 - Ding, Ping

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019

Y2 - 15 August 2019 through 17 August 2019

ER -

Yingshun L, Zheng M, Tong W, Yi X. State assessment method of fire control system based on fusion of grey relational and D-S evidence theory. In Li C, Zhang S, Long J, Cabrera D, Ding P, editors, Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 142-147. 9168921. (Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019). doi: 10.1109/SDPC.2019.00034

State assessment method of fire control system based on fusion of grey relational and D-S evidence theory

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