重型机械Issue(5)：34-42,9.
基于TS-BiGRU的滚动轴承剩余寿命预测方法研究
Research on the remaining useful life prediction method of rolling bearings based on TS-BiGRU
杨鹏 1薛红卫 1张超 1陈慧妮 1杨晓东 1李璐1
作者信息
- 1. 中国重型机械研究院股份公司 陕西 西安 710018
- 折叠
摘要
Abstract
To address the limitations of current remaining useful life(RUL)prediction models for rolling bearings in long-sequence feature extraction and model generalization capability,this paper proposes a remaining life prediction method based on Temporal Convolution Network(TCN),SimAM module,and Bi-directional Gated Recurrent Unit(BiGRU).Firstly,TCN is used for short-term feature extraction,and its dilated convolutions and residual structures are utilized to efficiently model the input sequence.Subsequently,the SimAM module adaptively weights the extracted features to suppress redundant information and enhance key feature representation.Finally,a BiGRU is utilized to capture long-term dependencies within the input sequences by integrating forward and backward information,thereby improving the modeling capability for complex data.The proposed method was validated using the IEEE PHM 2012 dataset.Results demonstrate that it significantly improves both the accuracy of long-sequence prediction and its adaptability to various operating conditions.关键词
滚动轴承/时间卷积网络/双向门控循环单元/SimAM/剩余寿命预测Key words
rolling bearing/TCN/BiGRU/SimAM/remaining useful life prediction分类
信息技术与安全科学引用本文复制引用
杨鹏,薛红卫,张超,陈慧妮,杨晓东,李璐..基于TS-BiGRU的滚动轴承剩余寿命预测方法研究[J].重型机械,2025,(5):34-42,9.
