On-line Diagnosis of Secondary System Defective Equipment Based on Association Rules and Improved D-S Evidence Theory
Authors: 
Zhijie Li, Lu Zhang, Jianbo Liao, Dongliang Nan, Qi Zhao, Yongqiang LiuAuthors Info & Claims
Zhijie Li, Lu Zhang, Jianbo Liao, Dongliang Nan, Qi Zhao, Yongqiang LiuAuthors Info & ClaimsPages 398 - 404
Abstract
At present, the defective equipment of the secondary system mainly relies on manual diagnosis, and the diagnosis efficiency and accuracy are low due to the limitation of the technical level of the personnel. This paper proposes an on-line diagnosis method for defective equipment in secondary systems based on association rules and improved D-S evidence theory. The association rules based on Apriori algorithm are used to classify the operation and maintenance data of the secondary system, and the abnormal information of secondary system operation is used as the evidence source., and input it into the defect diagnosis method based on the improved D-S evidence theory to complete the online diagnosis of the defective equipment in the secondary system. It solves the problems of large amount of data in secondary system operation and maintenance, many causes of defects, and inaccurate defect identification.
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Published In
April 2022
1065 pages
ISBN:9781450395786
DOI:10.1145/3544109
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Association for Computing Machinery
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Publication History
Published: 18 July 2022
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- Research-article
- Research
- Refereed limited
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- Science and Technology Project of State Grid Xinjiang Electric Power Co., Ltd. ?Research and application of integrated testing technology for secondary equipment of new generation substation based on wireless data communication?
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IPEC2022
IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers
April 14 - 16, 2022
Dalian, China
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