Degradation feature extraction technique of bearing based on improved basic scale entropy

SUN Zhan-min, TANG Xu-ming, WAN Hao, ZHOU Yin-yin, BAN Dong-po, YAN Ge

(Huainan Power Supply Company, China National Network Anhui Electric
Power Co., Ltd., Huainan 232000, China)

Abstract: Aiming at the problem of accurate tracking of rolling bearing performance degradation trend, the problems and deficiencies of the basic scale entropyalgorithm were studied. An unified basic scale was introduced to quantitatively measure the information size of the amplitude distribution, and then a degradation feature analysis method based on improved basic scale entropy was proposed. The full-life test data of rolling bearing of IMS bearing experimental center was used to analyze the example, and the algorithms of basic scale entropy, fuzzy entropy, approximate entropy and sample entropy were introduced for comparison. The results show that the improved basic scale entropy method is able to characterize the information amount of signal amplitude quantitatively, and the deeper the performance degradation, the larger the value of this indicator. In terms of computational performance, the improved basic scale entropy method has a fast calculation speed and strong algorithm stability, and can be better applied to the evaluation of the equipment's health condition.

Key words: basic scale entropy（BSE）; degradation feature extraction; rolling bearing; whole lifetime