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一种Informer模型的滚动轴承剩余寿命预测方法

李广福 马萍 张宏立 王聪

机械科学与技术2024,Vol.43Issue(12):2016-2023,8.
机械科学与技术2024,Vol.43Issue(12):2016-2023,8.DOI:10.13433/j.cnki.1003-8728.20230117

一种Informer模型的滚动轴承剩余寿命预测方法

A Method for Predicting Remaining Life of Rolling Bearings Using Informer Model

李广福 1马萍 1张宏立 1王聪1

作者信息

  • 1. 新疆大学电气工程学院,乌鲁木齐 830017
  • 折叠

摘要

Abstract

In order to accurately describe the performance degradation trend and predict the remaining useful life of rolling bearings,and solve the problem of low prediction accuracy of the remaining useful life of rolling bearings,a new method for predicting the remaining useful life of rolling bearings was proposed based on multi-scale degradation index combined with Informer model.The time-frequency domain characteristics of rolling bearing vibration signals were first extracted,and a multi-scale degradation index was obtained by Pearson correlation coefficient combined with kernel Principal Component analysis(KPCA),which could better characterize the degradation state of rolling bearings.Informer model was introduced to efficiently and fully explore the complex relationship between the input multi-scale degradation index and the rolling bearing degradation trend,and realize the prediction of the remaining useful life of rolling bearings.The experimental results show that this method can effectively improve the prediction accuracy of remaining useful life of bearings,and provide a reference and implementation approach for health management and performance evaluation of rolling bearings.

关键词

风力机/滚动轴承/剩余使用寿命预测/Informer模型/多尺度退化指标

Key words

wind turbine/rolling bearing/prediction of remaining useful life/Informer model/multiscale degradation indicator

分类

机械制造

引用本文复制引用

李广福,马萍,张宏立,王聪..一种Informer模型的滚动轴承剩余寿命预测方法[J].机械科学与技术,2024,43(12):2016-2023,8.

基金项目

国家自然科学基金项目(52065064,51967019)、新疆维吾尔自治区自然科学基金青年项目(2022D01C89)及天山青年计划(2020Q066) (52065064,51967019)

机械科学与技术

OA北大核心CSTPCD

1003-8728

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