Intelligent Fault Diagnosis of an Induction motor in Electro-pump using Data Fusion

In this paper, the performance of the neural network in diagnosing an induction motor situations (safe, bearing outer race, broken rotor bar and stator short circuit faults) has been evaluated using fusion ofthe pre-processed-current-and-voltage-signals information. Moreover, the robustness of the proposed approach is evaluated against the unbalanced power source and dry running of the electro-pump. Results indicate that the proposed neural data fusion has better reliability in this fault detection application, also provides more robust behavior.