Abstract:In view of that morphology spectrum entropy fails to accurately describe the morphological complexity of signals and its evaluation effect of performance degradation trend is not ideal, a performance degradation feature extraction method based on mathematical morphological gradient spectrum entropy was proposed. In the paper, the method introduced morphological gradient algorithm which could effectively extract fault feature information and remove interference components in the signal processing into the definition of morphology spectrum entropy, and got the conception of mathematical morphological gradient spectrum entropy. The simulation signal verified the rationality and effectiveness of morphological gradient spectrum entropy as a signal complexity index. Lastly the rolling bearing performance degradation study result proved that, morphological gradient spectrum entropy could reflect rolling bearing's performance degradation trend.
刘鹏,李洪儒,许葆华. 基于数学形态梯度谱熵的性能退化特征提取方法及其应用[J]. 振动与冲击, 2016, 35(16): 86-90.
Liu Peng, Li Hong-ru, Xu Bao-hua. A performance degradation feature extraction method and its application based on mathematical morphological gradient spectrum entropy. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(16): 86-90.
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