Submersible motor rotor bars broken fault analysis based on HHT

Rotor bar broken fault is one of the common faults of the submersible motor. In order not to affect the production efficiency of submersible motor, the fault should be detected in time. For the purpose of solving the problem of the rotor crack detection, this dissertation has designed a method based on the analysis of the stator current to detect the rotor bar breaking fault. Through the experiments on submersible motor, we analyze on the stator current spectrum by means of HHT algorithm of the three different states of submersible motor—normal, minor fault and complete fault, and discriminate the fault in accordance with the frequency and amplitude of the current spectrum. Furthermore, the BP neural networks are also applied into the research to identify the rotor bar breaking fault in order to increase the accuracy of the discrimination results. The experiment and the research end up with a better result, and it verifies the feasibility and accuracy of the method.