| Summary: | 博士 === 國立中央大學 === 機械工程學系 === 101 === Traditional envelope analysis must examine all the resonant frequency bands during the process of bearing fault detection. To eliminate the above deficiency, this research presents an insight concept based on the empirical mode decomposition (EMD) to choose an appropriate resonant frequency band for characterizing feature frequencies of bearing faults by using the envelope analysis and cepstrum analysis subsequently. By the band-pass filtering nature of the empirical mode decomposition, the resonant frequency bands are allocated in a specific intrinsic mode function (IMF). As impulses arising from rolling elements striking bearing faults modulate with structure resonance, appropriate IMFs are potentially able to characterize fault signatures, instead of always using the first IMF. In the study, the single, dual- and triple-fault bearings are used to justify the proposed method and comparisons with the traditional envelope analysis are made. The experimental results show that the proposed insight concept can efficiently and correctly diagnose the bearing fault types.
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