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2023 | OriginalPaper | Buchkapitel

A Fault Diagnosis Method for Medium- and Low-Voltage Switches Based on Improved Dynamic Adaptive Fuzzy Petri Net

verfasst von : Min Zhang, Jian Fang, Hongbin Wang, Yong Wang, Jiaxing He, Xiang Lin

Erschienen in: Proceedings of the 3rd International Symposium on New Energy and Electrical Technology

Verlag: Springer Nature Singapore

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Abstract

To address the subjective experience in medium- and low-voltage (MV/LV) switch fault diagnosis and the deviation between diagnosis results and the actual occurrence, this paper provides an improved dynamic adaptive fuzzy Petri net-based method for diagnosing MV/LV switch faults. The effectiveness of this model is then verified by combining typical MV/LV switch fault cases. The research results show that our proposed method can effectively deal with the uncertainty factors in the fault probability and has an excellent performance in fault tolerance and high operational efficiency.

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Titel: A Fault Diagnosis Method for Medium- and Low-Voltage Switches Based on Improved Dynamic Adaptive Fuzzy Petri Net
verfasst von: Min Zhang
Jian Fang
Hongbin Wang
Yong Wang
Jiaxing He
Xiang Lin
Verlag: Springer Nature Singapore
Buch: Proceedings of the 3rd International Symposium on New Energy and Electrical Technology
Print ISBN: 978-981-9905-52-2

Electronic ISBN: 978-981-9905-53-9

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-99-0553-9_85