Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques

Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques

Diagnostics and prognostics in rotating machinery is a subject of much on-going research. There are three approaches to diagnostics and prognostics. These include experience-based approaches, data-driven techniques and model-based techniques. Bayesian data-driven techniques are gaining widespread...

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Bibliographic Details
Main Author: Aye, S.A. (Sylvester Aondolumun)
Other Authors: Heyns, P.S. (Philippus Stephanus)
Language:en
Published: 2015
Subjects:
Bayesian techniques
Slow rotating bearings
Emission-based diagnostics
UCTD
Online Access:http://hdl.handle.net/2263/43129
Aye, S 2014, Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/43129>

Internet

http://hdl.handle.net/2263/43129
Aye, S 2014, Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/43129>

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