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博士生孙若斌参加国际会议回国报告

发布时间:2019-07-01 点击数:


汇报题目:KURTOSIS ENHANCED DEMODULATION SPECTRUM FOR BEARING FAULT DIAGNOSIS

汇报时间:201971日(星期一) 19:00

汇报地点:科技园西五楼北楼228会议室

汇报人:孙若斌

会议名称:2019 International Conference on Structural Engineering Dynamics

会议时间:24-26 June 2019

会议地点:Viana do Castelo, Portugal

会议简介:

ICEDyn 2019 (International Conference on Structural Engineering Dynamics)是两年一届的结构健康监测的国际盛会。会议汇聚了世界各国的研究学者,在几天的时间中一起研讨交流学术思想。


会议交流工作

Oral Presentation: KURTOSIS ENHANCED DEMODULATION SPECTRUM FOR BEARING FAULT

报告人:孙若斌


参加论文信息

Title: KURTOSIS ENHANCED DEMODULATION SPECTRUM FOR BEARING FAULT

Author: Ruobin Sun, Zhibo Yang, Xuefeng Chen

Abstract: The vibration signals of rolling bearings exhibit second-order cyclostationary characteristics obviously. The cyclic power spectrum is a second-order cyclostationary statistics, which has better demodulation ability compared with classical envelope demodulation method. It can not only represent the evident fault feature of periodic impacts, but can also demodulate the periodic information of stationary signals which is an incipient fault feature. However, there are strong noise components in the early stage of fault development, which seriously interfere feature identification of cyclic power spectrum. To address the problem, the kurtosis enhanced demodulation method based on the cyclostationary analysis is proposed for the bearing fault diagnosis. Firstly, the fault feature frequency band is estimated by the spectral kurtosis method. Then the kurtosis enhanced demodulation spectrum is calculated by integrating the cyclic power density of fault feature band in the spectral frequency domain. The superiority and effectiveness of the proposed method is verified by the simulation and experimental analysis. The pitting bearing failure of inner race is successfully diagnosed by the proposed method.


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