Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis
(0) This paper discusses the application of fuzzy reasoning spiking neural P systems with trapezoidal fuzzy numbers (tFRSN P systems) to fault diagnosis of power systems, where a matrix-based fuzzy reasoning algorithm based on the dynamic firing mechanism of neurons is introduced to develop the inference ability of tFRSN P systems from classical reasoning to fuzzy reasoning. Case studies show the effectiveness of the presented method. We also briefly draw comparisons between the introduced method and several fault diagnosis approaches from the perspectives of knowledge representation and inference process.
Fuzzy reasoning spiking neural P system with trapezoidal fuzzy number fuzzy reasoning fault diagnosis trapezoidal fuzzy number linguistic term
Tao Wang Gexiang Zhang
School of Electrical Engineering,Southwest Jiaotong University,Chengdu,610031. P.R. China
国际会议
成都
英文
265-278
2013-11-04（万方平台首次上网日期，不代表论文的发表时间）