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论文类型：会议论文

发表时间：2015-05-11

收录刊物：EI、Scopus

卷号：2015-July

页面范围：572-577

摘要：As incipient fault of rotating machinery is weak and interfered by noise, it is difficult for characteristic information determination and early classification. In this research, a new method is put forward on rolling element bearing (REB) fault diagnosis using improved reassigned wavelet scalogram according to time-frequency analysis. Real vibration signal collected from REB of rotating machinery are used to verify this proposed method. Analyzed results show that the proposed method is effective for the early characteristic feature and fault recognition. ? 2015 IEEE.