Weak Fault Enhancement Method for Bearing Fault Diagnosis by Using MWS Stochastic Resonance

Large mechanical equipment is subject to periodic vibrations in harsh operating environments for a long time. Bearing failure produces violent changes the behaviors of large rotating machinery as safety and reliability scene. Therefore, it especially significant effectively identify early bearing. Since signal bearing fault belongs low-frequency weak fault, hard classify characteristic frequency. To solve this shortcoming, new stochastic resonance model MWS, which established on joint monostable function Woods-Saxon, presented used strengthen characteristics frequency, also frequency gained. The simulation analysis shows that proposed method can extract are submerged noisy environment, test proves MWS feature information signal.