作者：赵磊, 张永祥, 朱丹宸

作者单位：海军工程大学，湖北 武汉 430033

关键词：复杂装备;滚动轴承;故障诊断;预测

摘要：

复杂装备不仅结构复杂，而且各种零件之间参差交错，耦合性强，激励源多样。滚动轴承作为复杂装备最重要的零部件之一，在保持运动精度和提高机械效率上发挥不可替代的作用，对滚动轴承进行故障诊断与预测可以大大减少维修成本以及时间，优化资源配置，更加有效地保障设备的正常运行，在提高装备可靠性和增强维修保障能力方面具有重大的实践价值。通过综述国内外对故障诊断与预测方法的研究现状，从故障特征提取、故障模式识别、预测模型这3个方面出发，分别分析其主要方法的优缺点，并对复杂装备滚动轴承故障诊断与预测方法的发展进行总结展望。

Review on rolling bearing fault diagnosis and prognostic for complex equipment
ZHAO Lei, ZHANG Yongxiang, ZHU Danchen
Naval University of Engineering, Wuhan 430033, China
Abstract: Complex equipment is complicated in structure, and has staggered parts, strong coupling, and various excitation sources. Rolling bearing is essential parts of complex equipment, which plays an irreplaceable role in maintaining motion accuracy and improving mechanical efficiency. Therefore, fault diagnosis and prognostic of bearing can greatly reduce maintenance costs and time, optimize resources allocation, ensure the normal operation of equipment, and have great practical value in improving equipment reliability and enhancing maintenance support capacity. By reviewing the methods of fault diagnosis and prognostic, this article analyzes the pros and cons of the main methods in fault feature extraction, fault pattern recognition and prognostic model. Finally, it is the vision for future development of rolling bearing fault diagnosis and prognostic of complex equipment.
Keywords: complex equipment;rolling bearing;fault diagnosis;prognostic
2020, 46(3):17-25  收稿日期: 2019-04-18;收到修改稿日期: 2019-08-27
基金项目: 国家自然科学基金项目（41631072，41774021）；军队重点预研基金项目（9140A27020413JB11076）；湖北省自然科学基金（2017CFB672）
作者简介: 赵磊(1991-),男,山东滕州市人,博士,研究方向为舰船动力装置状态检测、故障诊断与维修
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