噪声与振动控制2018，Vol.38Issue(1)：188-192,5.DOI:10.3969/j.issn.1006-1355.2018.01.037
基于多频率尺度模糊熵和ELM的滚动轴承剩余寿命预测
Prediction of Remaining Life of Rolling Bearings Based on Multi-frequency Scale Fuzzy Entropy and ELM
摘要
Abstract
The remaining life of rolling bearings is predicted. First of all, empirical mode decomposition (EMD) method is applied to the decomposition of the vibration signals of the total lifespan of the bearing and several IMF components are obtained. The fuzzy entropy analysis of these IMF components is carried out to extract the fault feature information of the rolling bearing,and the fuzzy entropy of multi-frequency scale is obtained.Then,PCA is used to reduce the dimension,and the deterioration evaluation index of the rolling bearing is established.Finally,the index is input into the ELM learning machine,and the ELM prediction model is trained to predict the short term trend of the rolling bearing and the remaining life.Compared with the predicted value of the IMF sample entropy after the fusion of PCA,it is proved that the prediction accuracy of the proposed index is high and the prediction result of the remaining life of the bearing is slightly conservative.关键词
振动与波/经验模态分解/模糊熵/PCA/ELM/剩余寿命预测Key words
vibration and wave/empirical mode decomposition/fuzzy entropy/PCA/ELM/remaining life prediction分类
信息技术与安全科学引用本文复制引用
王付广,李伟,郑近德,徐培民..基于多频率尺度模糊熵和ELM的滚动轴承剩余寿命预测[J].噪声与振动控制,2018,38(1):188-192,5.基金项目
国家自然科学基金资助项目(51505002) （51505002）
安徽省高校自然科学研究重点资助项目(KJ2015A080) （KJ2015A080）
