Power electronic abnormal data processing method and processing system

The invention provides a power electronic abnormal data processing method and processing system, and relates to the field of power electronic data processing. The processing method comprises: acquiring an electronic signal of a to-be-processed electronic element; converting the electronic signal into a digital signal; analyzing the digital signal by using a GA-FCMNN model trained by a power electronic parameter type fault sample; and comparing the analysis result with a preset normal result, and processing the to-be-processed electronic component if an abnormality exists. The genetic algorithmGA is used for initial parameter selection of the FCMNN, and global optimization of the FCNMNN classifier is realized through mutation operation and optimal selection. According to the invention, blindness and time cost of manual selection of initial parameters can be effectively reduced, learning efficiency and intelligent level of the neural network diagnosis classifier are further improved, and identification efficien