Multi-fractal Based Fault Diagnosis Method of Rotating Machinery
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 multifractal characteristics. Then the area of multifractal 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.
multi-fractal the area of multi-fractal spectruim the entropy of multi-fractal spectrum fault diagnosis
ZHANG Shuqing HE Yuzhu ZHANG Jinmin Zhao Yuchun
Institute of Electrical Engineering, the Key Lab of Measurement Technology and Instrumentation of He School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing,1000 Institute of Electrical Engineering, the Key Lab of Measurement Technology and Instrumentation of He
国际会议
合肥
英文
571-574
2011-09-23(万方平台首次上网日期,不代表论文的发表时间)