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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A Review of Current Condition Monitoring and Fault Diagnosis Methods for Slewing Bearings
verfasst von : Fengtao Wang, Chenxi Liu
Erschienen in: Innovative Techniques and Applications of Modelling, Identification and Control
Verlag: Springer Singapore
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Abstract
Low-speed and heavy-load slewing bearings are applied broadly for major mechanical equipment. Compared with ordinary bearings, large slewing bearings have complex structures and work in variable environments. In order to increase productivity, reduce maintenance costs, and ensure the safety of people and equipment, it is of great importance to monitor and diagnose faults in real time. This paper aims at providing a state-of-the-art review on methods for condition monitoring and fault diagnosis of low-speed and heavy-load slewing bearings. Finally, the current needs and challenges are presented to provide a reference for future research.