Chapter
Aug 14, 2017
International Conference on Construction and Real Estate Management 2016

Research on the Evaluation for Condition-Based Maintenance of a Switch Cabinet Using a Hybrid Algorithm

Publication: ICCREM 2016: BIM Application and Off-Site Construction

ABSTRACT

With the continuous development of social economy, the requirements for the stability of the safe economic operation of electric power system have been higher and higher. In the light of problems in the maintenance process of the fixed high-voltage switch cabinets, the evaluation index system is constructed based on the actual situation in this paper and the problem is solved with a hybrid algorithm of the fruit fly optimization algorithm and least squares support vector machine. And in the case study, the XGN switchgear is taken as the example and the results show the algorithm has higher accuracy and practical value.

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REFERENCES

Chaidee, E. and Tippachon, W. (2011). “Failure statistics and condition evaluation for power transformer maintenance.” Proceedings from the Asia-Pacific Power and Energy Engineering, Wuhan, China, 1–4.
Cui, Y.B. and Liang, Y. (2015). “Research of condition based maintenance evaluation model for the on-post vacuum circuit breaker on least squares support vector machine based on particle swarm optimization algorithm.” WSEAS Transactions on Systems and Control, 10(2015), 198–205.
Pan, W.T. (2012). “A new Fruit Fly Optimization Algorithm: taking the financial distress model as an example.” Knowledge-Based Systems, 26(2011), 69–74.
Qu, Z.Y. and Zhang, M. (2009). “The evaluation model of power equipment maintenance based on virtual reality technology.” Proceedings from ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM), Sanya, China, 185–188. (in Chinese).
Sun, Q.S. (2009). “Analysis of state evaluation parameters of high voltage switchgear cabinet”. Proceedings from the 2009 National Power Transmission Equipment State Maintenance Technology Seminar in Communication, Xian, China, 851–855. (in Chinese).
SuyKens, J.A.K. and Vandewalle, J. (1999). “Least squares support vector machine classifiers.” Neural Processing Letters, 9(3), 293–300.
Xie, J., Shu, H.C., Wang, K., Peng, J. and Xiang, E.X. (2014). “State evaluation algorithm for high voltage switch cabinet based on Fuzzy Theory.” High Voltage Technology, 40(10), 3186–3192. (in Chinese).
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Information & Authors

Information

Published In

Go to ICCREM 2016
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 438 - 446
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4

History

Published online: Aug 14, 2017

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Authors

Affiliations

Bachelor, Finance and Assets Dept., North Hebei Electric Power Co., Ltd., Beijing, China, 100053. E-mail: [email protected]
Bachelor, Finance and Assets Dept., Qinhuangdao Power Supply Company, Hebei, China, 066000. E-mail: [email protected]
Postgraduate, Dept. of Economic Management, North China Electric Power Univ., Hebei, China, 071003. E-mail: [email protected]
Postgraduate, Dept. of Economic Management, North China Electric Power Univ., Hebei, China, 071003. E-mail: [email protected]

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