Fault diagnosis of rolling bearings based on chaos and two-dimensional approximate entropy
Ying Zhang · 2007
The fault characteristic signals of rolling bearings are in low frequency band,and the useful signals are often buried in heavy noise and difficult to be detected.Two-dimensional approximate entropy(AE2d) was proposed to measure the states of chaotic oscillator,and a method based on chaotic oscillator and AE2d was presented to diagnose rolling bearings fault.By using the characters of chaotic oscillator being sensitive to weak periodic signal,and AE2d being effective to recognizing the change of chaotic oscillator,the fault could be identified.Diagnosis of inner and outer race fault of rolling bearing confirm the effectiveness of this method.