A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems | Zendy

Zhu Huang | Zendy; Tao Wang | Zendy; Wei Liu | Zendy; Luis ValenciaCabrera | Zendy; Mario J. Pérez–Jiménez | Zendy; Pengpeng Li | Zendy

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A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems

Author(s) -

Zhu Huang,

Tao Wang,

Wei Liu,

Luis ValenciaCabrera,

Mario J. Pérez–Jiménez,

Pengpeng Li

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/2087027

Subject(s) - fault (geology) , computer science , induction motor , abductive reasoning , fuzzy logic , reliability (semiconductor) , artificial neural network , artificial intelligence , algorithm , machine learning , engineering , power (physics) , physics , quantum mechanics , voltage , seismology , geology , electrical engineering

School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Sevilla 41012, Spain Taizhou Power Supply Company, State Grid Zhejiang Electric Power Co. Ltd., Taizhou 318000, China

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