Multi-Fractal Based Fault Diagnosis Method of Rotating Machinery
Shu Qing Zhang, Yu Zhu He, Jin Min Zhang, Yu Chun Zhao · Applied Mechanics and Materials · 2011
Aiming at complex features of the fault rotating machinery such as nonstationary and nonlinearity, a new method for fault diagnosis based on multi-fractal was introduced. The vibration signals firstly are analyzed by multi-fractal theory and have multi-fractal characteristics. Then the area of multi-fractal spectrum S and the entropy of multi-fractal spectrum Hm were extracted as new criterions to diagnose machinery faults. Results of experimental analysis indicate that the method is effective and it provides a new way in fault diagnosis of rotating machinery.