Application of Information Fusion in Fault Diagnosis of Asynchronous Motor
YE Han-mi · Modular Machine Tool & Automatic Manufacturing Technique · 2013
The information fusion technology is introduced to the fault diagnosis of asynchronous motor. Through wavelet analysis vibration sensor and the current state of the sensor signal,extracts fault characteristic parameters,as the input of BP neural network,using two parallel BP neural network diagnosis of asynchronous motor,the results by D-S theory of evidence to the diagnosis of the global fusion,implementation of asynchronous motor is a kind of or various faults of an accurate diagnosis. Experiments show that significantly increases the credibility of diagnosis,uncertainty significantly reduced,fully shows the method is effective.