基于轴承退化状态评估和改进图注意力双向门控循环单元网络的轴承剩余寿命预测

打开文本图片集

关键词：滚动轴承;故障始发时刻;剩余寿命预测;改进图注意力双向门控循环单元中图分类号：TP182DOI：10.3969/j.issn.1004-132X.2025.07.019 开放科学（资源服务）标识码（OSID）：

Residual Life Prediction for Bearings Based on Bearing Degradation State Assessment and IGAT-BiGRU Network

SONG Lijun LIU Songlin XIN Yu* MA Jinghua XIE Zhengqiu ichool of Mechanical Engineering，Chongqing University of Technology，Chongqing，40005

Abstract： Due to the influences of working conditions and operating conditions，the colected status monitoring data was interfered with strong noise in fullife cycle of rolling bearings，and the bearing operating life degradation was nonlinear，which seriously affected the accuracy of residual life prediction.So，a bearing residual life prediction method was proposed based on a joint high-precision FPT degradation state evaluation and an IGAT-BiGRU network，and the XJTU-SY ful life cycle bearing dataset was used to verify the effectiveness of the proposed method. The results show that the proposed prediction method may effectively capture the deep spatiotemporal features that characterize the bearing degradation states，and significantly improve the residual life prediction accuracy，compared with methods such as CNN-LSTM.

Key words： roling bearing； first predicting time（FPT）;residual life prediction; improved graph attention bidirectional gate recurrent unit（IGAT-BiGRU）

0 引言

滚动轴承是机械设备内部支承旋转部件的关键部件，其工作环境恶劣，在运行过程中会发生性能退化，产生故障[1]。（剩余15042字）