Application of Multi Sensor Information Integration on Motor Fault Diagnosis
Zhimei Duan · Noise and Vibration Control · 2012
In order to improve the accuracy of motor fault diagnosis,a method of multi sensor information integration is applied.After the vibration spectrum signal collected with multi sensors processed,the ant colony algorithm-neural network was used to implement local fault diagnosis and acquire each other independent evidence,then the evidence theory was employed to fuse them.Ultimately diagnosis of motor faults was realized.Experimental results show that this method is effective to improve diagnostic reliability and reduces the uncertainty in motor fault classification and recognition.