西华大学学报（自然科学版）2024，Vol.43Issue(1)：48-69,22.DOI:10.12198/j.issn.1673-159X.5096
基于振动信号的滚动轴承复合故障诊断研究综述
A Review of Rolling Bearing Compound Fault Diagnosis Based on Vibration Signals
摘要
Abstract
Rolling bearings are the key components of rotating machinery.The working principle and environment determine that they are easy to wear and tear.Fault identification and diagnosis are necessary tools to ensure the safe and reliable operation of the equipment.In engineering applications,the probability of bearing compound faults is higher than that of a single fault,and the identification of compound fault characteristics is more difficult.In this paper,aiming at the bearing compound fault diagnosis algorithm based on vibration signal,various diagnosis algorithms are discussed and analyzed from the point of view of algorithm history,basic principle,application effect,advantages and disadvantages and so on according to the traditional diagnosis and intelligent diagnosis classification.In the end,the research on bearing com-pound fault diagnosis is summarized and prospected.关键词
滚动轴承/复合故障诊断/特征提取/特征识别/研究综述Key words
rolling bearing/compound fault diagnosis/feature extraction/feature recognition/review of research分类
数理科学引用本文复制引用
杨岗,徐五一,邓琴,卫昱乾,李芾..基于振动信号的滚动轴承复合故障诊断研究综述[J].西华大学学报（自然科学版）,2024,43(1):48-69,22.基金项目
国家重点研发计划(2020YFB1200300ZL) （2020YFB1200300ZL）
四川省科技计划资助(2023YFG0063). （2023YFG0063）
