Non-invasive household electric equipment online monitoring system and fault identification method

The invention relates to the technical field of power data analysis. The invention discloses a non-invasive household electric equipment online monitoring system and a fault identification method. A non-invasive electrical signal acquisition device and a real-time power utilization information multivariate feature extraction system complete acquisition of waveform signals generated by household electric equipment and extraction of multivariate power utilization features. An autoregressive moving average model ARMA, a multi-objective optimization model and an LSTM classification system analyzeand process the multivariate power utilization features to obtain an abnormal probability and a normal probability of each currently running electric equipment or a line where the electric equipment is located under each multivariate time sequence power utilization feature vector, and finally, whether a fault occurs or not is judged by a joint judgment model according to a joint probability: whenthe joint abnormal probabi