计算机与数字工程2024，Vol.52Issue(2)：605-610,6.DOI:10.3969/j.issn.1672-9722.2024.02.054
基于SAE和BiGRU的滚动轴承剩余寿命预测
Remaining Life Prediction of Rolling Bearing Based on SAE and BiGRU
魏熙朋 1林建辉 2易彩2
作者信息
- 1. 西南交通大学机械工程学院 成都 610031
- 2. 西南交通大学牵引动力国家重点实验室 成都 610031
- 折叠
摘要
Abstract
In order to improve the prediction accuracy of rolling bearing remaining life,a remaining life prediction method based on sparse auto encoder(SAE)and bi-directional gated recurrent unit(BiGRU)is proposed.Firstly,the time domain,fre-quency domain and time-frequency domain features extracted from rolling bearing vibration signals are screened by using four evalu-ation indexes,and the sensitive degradation feature set is constructed.Then,in order to solve the problem of information redundan-cy between features,SAE network is used to reduce the dimension of sensitive degraded feature set.Finally,the fusion sensitive degradation features are input into BiGRU model to complete the prediction of rolling bearing remaining life.The results show that,compared with LSTM and GRU,this method has higher accuracy of remaining life prediction.关键词
滚动轴承/剩余寿命预测/稀疏自编码器/双向门控循环单元Key words
rolling bearing/remaining life prediction/sparse auto encoder/bi-directional gated recurrent unit分类
机械制造引用本文复制引用
魏熙朋,林建辉,易彩..基于SAE和BiGRU的滚动轴承剩余寿命预测[J].计算机与数字工程,2024,52(2):605-610,6.
