机械科学与技术2017，Vol.36Issue(11)：1771-1777,7.DOI:10.13433/j.cnki.1003-8728.2017.1122
滚动轴承早期性能退化评估技术研究
Study on Evaluation of Incipient Performance Degradation of Rolling Bearings
摘要
Abstract
Signal-to-noise rates (SNR) is very poor when incipient faults occur on rolling bearings,which makes it difficult to extract fault features and evaluate performance degradation of rolling bearings.Blind source separation (BSS) method is adapted to separate noise impulses mixed in measured signals of rolling bearings.Kurtosis values are sensitive features when measured signals are separated by BSS method.A performance evaluating model of incipient degradation of rolling bearings is built based on dynamic fuzzy neutral network (DFNN) and kurtosis values are input vectors of the evaluating model.The results of calculation show that the kurtosis is more sensitive to the performance and evaluation results of degradation performance of rolling bearings are more accurate.The method of performance degradation based on kurtosis and BSS is significant to solve engineering problems.关键词
滚动轴承/早期性能退化/盲源分离/性能评估/峭度Key words
rolling bearing/incipient performance degradation/blind source separation/performance evaluation/kurtosis分类
机械制造引用本文复制引用
黄海凤,高宏力,李丹,杨昕时,黄晓蓉,张莉..滚动轴承早期性能退化评估技术研究[J].机械科学与技术,2017,36(11):1771-1777,7.基金项目
国家自然科学基金项目(51275426)、四川省科技计划项目(2015HH0015)及中央高校基本科研业务费专项资金资助(2682014CX034,2682014BR024)资助 （51275426）
