计算机工程与应用2017，Vol.53Issue(8)：267-270,4.DOI:10.3778/j.issn.1002-8331.1509-0153
BP-LCD方法及其在滚动轴承故障诊断中的应用
BP-LCD method applied to fault diagnosis of rolling bearing
摘要
Abstract
In view of the Local Characteristic-scale Decomposition(LCD)in serious endpoint effect, the BP neural net-work is applied to the signal in the extension, and the method based on BP neural network endpoint extension Local Char-acteristic-scale Decomposition(BP-LCD)is proposed. The BP neural network is used to predict the end of the signal and then the curve is decomposed by LCD in this method. Through the analysis of the simulation signal, the method can effec-tively suppress the endpoint effect in the LCD method, then the method is applied to the actual fault diagnosis of rolling bearing. The results show that the method is effective.关键词
反向传播(BP)神经网络延拓/局部特征尺度分解/端点效应/滚动轴承/故障诊断Key words
Back Propagation(BP)neural network endpoint extension/Local Characteristic-scale Decomposition(LCD)/endpoint effect/rolling bearing/fault diagnosis分类
机械制造引用本文复制引用
李曜洲,伍济钢,李学军..BP-LCD方法及其在滚动轴承故障诊断中的应用[J].计算机工程与应用,2017,53(8):267-270,4.基金项目
国家自然科学基金(No.51205122). （No.51205122）
