Expert self-organizing mapping weighted vector machine aircraft electric signal identification method

The invention relates to an expert self-organizing mapping weighted vector machine aircraft electric signal identification method. Comprising an electrical characteristic classifier offline training module and an electrical characteristic online monitoring identification module. Historical data is input into a classifier offline training module for training (102), the module pre-processes the historical data (103) and then constructs a historical data set, manual error correction is performed on the data set (104), an expert data set (105) is constructed, finally, feature extraction is performed on the expert data set by using a self-organizing mapping method (106), and offline training of a classifier is completed (107). And after the offline training of the classifier is finished, inputting the test data into an electrical characteristic monitoring and identification module (202), and classifying the test data by the trained electrical characteristic classifier (205), and outputting a final identification a