Alternating current contactor operation state classification visualization method

The invention belongs to the technical field of alternating current contactors, and particularly relates to an alternating current contactor operation state classification visualization method. According to the method, the classification visualization model in machine learning is applied to the problem of running state prediction of the alternating current contactor for the first time, real-time online prediction of the running state of the alternating current contactor can be achieved, stability is high, and result precision is high. Comprising the following steps: step 1, establishing an AC contactor operation state online monitoring system, and extracting characteristic parameters influencing the operation state of the AC contactor by adopting time domain analysis; step 2, utilizing a PCC method and a PCA method to analyze the correlation of characteristic parameters to generate a dimension-reduced characteristic matrix; 3, generating an alternating current contactor operation state characterization curve