Weak-signal detection and the application in detection of electric motor faults

How to detect motor incipient failure have become the research hotspots of the engineering area. The choice of the Weak-Signal processing technology to diagnose asynchronous motor fault has significant theoretical and practical value. Based on the Weak-Signal processing of failure diagnosis, this article focuses on extracting feature of fault signal. Using bilinear time-frequency analysis theory and adaptive filter technology, it simulates rotor bar breaking fault with multi-loop model and extracts the feature frequency from analyzing the stator current. We can prove the feasibility of this method proposed in the paper. The result of the simulation show that this method detects rotor bar broken fault successfully and accurately, and it has higher resolution and good time-frequency localization, so it has advantages in detection fault of asynchronous motor with this novel approach.