Condition monitoring of slow rotating bearings based on Bayesian linear regression

C.J.H., THIART and P.S., HEYNS and S.A., AYE (2014) Condition monitoring of slow rotating bearings based on Bayesian linear regression. In: International Conference on Advances in Civil, Structural and Mechanical Engineering - CSM 2014, 01 - 02 June,2014, London, UK.

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Abstract

Preventive maintenance and run to failure techniques of bearing condition monitoring could be quite expensive. The failure could equally be catastrophic thereby leading to the damage of several other components of the machinery. Many bearing studies are done at constant loading and speed and constant conditions. However, this study is carried at varying loads and speed conditions. This paper therefore presents a condition monitoring methodology based on Bayesian linear regression technique which is at varying load and speed condition.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: condition monitoring, Bayesian linear regression, slow rotating bearings
Depositing User: Mr. John Steve
Date Deposited: 16 May 2019 11:28
Last Modified: 16 May 2019 11:28
URI: http://publications.theired.org/id/eprint/2426

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