Fault diagnosis of transmission circuit based on triangular interval valued fuzzy spike neural network P system

A fault diagnosis method based on fuzzy inference neural network is proposed, which can improve the uncertainty and incomplete fault information of the power system. In order to solve this problem, the IVTFSNP system is proposed. By modeling the fault area, an algebraic fuzzy inference algorithm is...

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Bibliografiska uppgifter
Huvudupphovsmän: Nan Zhou, Anna Wang
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2022-04-01
Serie:Energy Reports
Ämnen:
Fault diagnosis
Triangular interval value fuzzy number
Fuzzy inference impulse neural network system
Confidence level
Relative preference relationship
Länkar:http://www.sciencedirect.com/science/article/pii/S2352484721012312
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