2025年5月16日 0:40 星期五
首页 > 过刊浏览>2025年第45卷第2期 >323-330. DOI:10.16450/j.cnki.issn.1004-6801.2025.02.016
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考虑自愈现象的轴承多阶段退化剩余寿命预测
作者:
作者单位:

厦门大学航空航天学院 厦门，361102

通讯作者:

罗华耿，男，1963年2月生，博士、教授、博士生导师。主要研究方向为故障诊断、信号处理和结构动力学。E-mail： luoh@xmu.edu.cn

中图分类号:

TH17;TH165.3;TP183

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    摘要:

    轴承服役过程存在“自愈”等非线性退化现象且缺乏训练寿命标签，限制了智能轴承寿命预测方法在实际工程中的应用。针对此问题，提出一种多阶段退化标签构建（multi-stage degradation label construction， 简称MDLC）方法。首先，运用深度自编码网络与高斯分布的自适应3σ法则，根据振动信号统计特征识别轴承的初始退化点；其次，利用自下而上分割算法，基于均方根特征值曲线划分轴承退化阶段并分段拟合，构建多阶段退化剩余寿命标签；然后，搭建长短时记忆人工神经网络的寿命预测模型，以有监督的方式训练并优化该模型；最后，利用XJTU-SY滚动轴承加速寿命试验数据集测试所提出的方法，并与经典方法进行了对比。结果表明，该方法不仅能够准确识别轴承初始退化点，且剩余寿命预测误差更小，验证了其有效性与准确性。

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历史
  • 收稿日期:2022-04-20
  • 最后修改日期:2022-09-04
  • 在线发布日期: 2025-04-28
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