A Bearing Fault Diagnosis Method Based on EEMD Energy Entropy and SVM

A fault diagnosis scheme based on ensemble empirical mode decomposition(EEMD) energy entropy and support vector machine is proposed in this paper.Firstly,original acceleration vibration signals are decomposed into a finite number of stationary intrinsic mode functions(IMFs);the energy of vibration signal will change in different frequency bands when fault occurs.Therefore,to identify the fault pattern and condition,energy feature extracted from a number of IMFs that contained the most dominant fault information could serve as input vectors of support vector machine.Practical examples show that the proposed diagnosis approach can identify bearing fault patterns effectively.