Abstract
Bearing failure is one of the foremost causes of breakdown in rotating machine, resulting in costly systems downtime. This chapter presents an overview of current state-of-the-art monitoring approaches for rolling element bearings. Issues related to sensors, signal processing as well as diagnostics and prognostics are discussed. This chapter also presents a brief discussion related to the typical failure modes of bearings. Such failures are more and more common on advanced, high speed, ultra precision production systems as higher spindle speeds are employed for increased accuracy, productivity and machining satiability. Models for rolling element bearing behavior are presented as well as mechanistic models for damage propagation. Examples are also presented from test systems to demonstrate the various approaches discussed in this chapter.
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Kurfess, T.R., Billington, S., Liang, S.Y. (2006). Advanced Diagnostic and Prognostic Techniques for Rolling Element Bearings. In: Wang, L., Gao, R.X. (eds) Condition Monitoring and Control for Intelligent Manufacturing. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/1-84628-269-1_6
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DOI: https://doi.org/10.1007/1-84628-269-1_6
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