A new approach to fault diagnosis of power systems using fuzzy reasoning spiking neural P systems

DOI10.1155/2013/815352zbMath1299.93163OpenAlexW2036354104WikidataQ59030301 ScholiaQ59030301MaRDI QIDQ474655

Guojiang Xiong, Dongyuan Shi, Lin Zhu, Xianzhong Duan

Publication date: 24 November 2014

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/815352

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Pattern recognition, speech recognition (68T10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Computing with membranes
• Fuzzy timing Petri net for fault diagnosis in power system
• Fuzzy reasoning spiking neural P system for fault diagnosis
• Forward and backward models for fault diagnosis based on parallel genetic algorithms

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