|本期目录/Table of Contents|

[1]楼亮亮,廖小龙,张瀚文,等.滚动轴承剩余使用寿命预测研究综述[J].浙江理工大学学报,2026,55-56(自科五):712-724.
 LOU Liangliang,LIAO Xiaolong,ZHANG Hanwen,et al.A review of remaining useful life prediction methods for rolling bearings[J].Journal of Zhejiang Sci-Tech University,2026,55-56(自科五):712-724.
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滚动轴承剩余使用寿命预测研究综述()

浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
55-56
期数:
2026年自科第五期
页码:
712-724
栏目:
出版日期:
2026-09-20

文章信息/Info

Title:
A review of remaining useful life prediction methods for rolling bearings
文章编号:
1673-3851(2026) 09-0712-13
作者:
楼亮亮 廖小龙 张瀚文 卢明安 汤沈杰
1. 台州学院人工智能学院 ,浙江台州 318000;2. 杰克科技股份有限公司 ,浙江台州 318000
Author(s):
LOU LiangliangLIAO XiaolongZHANG HanwenLU Ming’an TANG Shenjie
1. School of Artificial Intelligence, Taizhou University, Taizhou 318000, China;2. Jack Technology Co. , Ltd. , Taizhou 318000, China
关键词:
滚动轴承 剩余使用寿命 健康指标 数据驱动 预测方法
分类号:
TH133.33
文献标志码:
A
摘要:
滚动轴承剩余使用寿命(Remaining usefullife, RUL)预测是实现旋转机械设备预测维护的关键技术 ,现有研究多聚焦于 RUL预测流程的部分环节 ,对各环节间的内在关联及全流程研究脉络缺乏系统梳理 。为此 ,该综述系统梳理了近年来国内外滚动轴承 RUL预测相关研究 ,概述了涵盖故障机理与退化过程、数据获取与特征提取、健康指标构建和 RUL预测方法等 4 个环节的全流程研究框架 ,梳理了各环节的研究进展 , 对比分析了特征提取、健康指标构建及 RUL预测方法的主要方法 ,探讨了当前研究挑战与未来发展方向 , 以期为该领域相关理论研究与工程应用提供参考。

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备注/Memo

备注/Memo:
基金项目 : 浙江省“尖兵”“领雁”研发攻关计划项目(2024C01022,2026C01029,2026C02A1241)收稿日期 : 2025-10-31 网络出版日期 : 2026-04-30
作者简介 : 楼亮亮(1986— ) ,男 ,浙江台州人 ,教授 ,博士 ,主要从事物联网感知技术、无线传感器网络、时间序列预测方面的研究。通信作者: 汤沈杰,E-mail:tangshenjie@tzc. edu. cn
更新日期/Last Update: 2026-09-21