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Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

机译:多传感器信息融合条件监测与故障诊断的发展与趋势:滚动轴承的信息融合:综述

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摘要

A rolling bearing is an essential component of a rotating mechanical transmission system. Its performance and quality directly affects the life and reliability of machinery. Bearings' performance and reliability need high requirements because of a more complex and poor working conditions of bearings. A bearing with high reliability reduces equipment operation accidents and equipment maintenance costs and achieves condition-based maintenance. First in this paper, the development of technology of the main individual physical condition monitoring and fault diagnosis of rolling bearings are introduced, then the fault diagnosis technology of multi-sensors information fusion is introduced, and finally, the advantages, disadvantages, and trends developed in the future of the detection main individual physics technology and multi-sensors information fusion technology are summarized. This paper is expected to provide the necessary basis for the follow-up study of the fault diagnosis of rolling bearings and a foundational knowledge for researchers about rolling bearings.
机译:滚动轴承是旋转机械传动系统的必要组件。其性能和质量直接影响机械的生活和可靠性。由于轴承的工作条件更复杂和差,轴承的性能和可靠性需要高要求。具有高可靠性的轴承可降低设备运行事故和设备维护成本,并实现基于条件的维护。首先,介绍了主要个体物理状况监测和故障诊断的技术的发展,介绍了多传感器信息融合的故障诊断技术,最后,发达的优势,缺点和趋势在未来检测主要的单独物理技术和多传感器信息融合技术总结。预计本文将为滚动轴承故障诊断的后续研究提供必要的基础,以及滚动轴承的研究人员的基础知识。

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