Mechanical Fault Diagnosis Based on Band-phase-randomized Surrogate Data and Multifractal |
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| Authors: | ZHANG Shuqing ZHAO Yuchun ZHANG Liguo JIN Mei School of Electrical Engineering Yanshan University Qinhuangdao China |
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| Affiliation: | ZHANG Shuqing*,ZHAO Yuchun,ZHANG Liguo,and JIN Mei School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China |
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| Abstract: | The vibration signals of machinery with various faults often show clear nonlinear characteristics.Currently,fractal dimension analysis as the common useful method for nonlinear signal analysis,is a kind of single fractal form,which only reflects the overall irregularity of signals,but cannot describe its local scaling properties.For comprehensive revealing of internal properties,a combinatorial method based on band-phase-randomized(BPR) surrogate data and multifractal is introduced.BPR surrogate data method... |
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| Keywords: | fault diagnosis band-phase-randomized surrogate data nonlinear titration multifractal |
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