Single-step prediction of motor fault current based on LSTM

Fault prediction and diagnosis of induction motor is very important for the smooth operation of industrial production environment. The most common fault of asynchronous motor is the short circuit between rotor broken bar and turns. However, it is difficult to collect the fault current signal of motor in actual industry. So, establishing an accurate and stable current signal prediction model is of great significance for fault prediction and diagnosis. This paper presents the prediction of motor fault current signal based on LSTM (Long short-term memory neural network), which provides important reference for the subsequent motor fault diagnosis technology.