A Fault Diagnosis and Comprehensive Evaluation Methods for the Electrical System
Article No.: 48, Pages 1 - 5
Abstract
With the development of the technology, the electrical system products is becoming more and more complicated and more and more diversified. It is more and more important to use the intelligent method to conduct the fault diagnosis and comprehensive evaluation to ensure the efficiency of the electrical system. This paper puts forward a fault diagnosis and comprehensive evaluation methods for the electrical system. The deep learning algorithm is used in the single fault factor evaluation for improving the accuracy of the single fault factor evaluation. Then, with the evaluation results, a fuzzy comprehensive evaluation model is designed and to obtain the whole performance evaluation result of the electrical system. The results of experiments demonstrate that the proposed method has better properties in efficiency than the competing methods.
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Published In
December 2020
576 pages
ISBN:9781450388115
DOI:10.1145/3446132
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Association for Computing Machinery
New York, NY, United States
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Published: 09 March 2021
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ACAI 2020
ACAI 2020: 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence
December 24 - 26, 2020
Sanya, China
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Overall Acceptance Rate 173 of 395 submissions, 44%
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