Advanced condition monitoring to predict rolling element bearing wear using multiple in-line and off-line sensing
Advanced condition monitoring to predict rolling element bearing wear using multiple in-line and off-line sensing
Craig, M.
7f1dfda7-c7ea-4cdb-9010-e103cbe2af42
Craig, M.
7f1dfda7-c7ea-4cdb-9010-e103cbe2af42
Craig, M.
(2010)
Advanced condition monitoring to predict rolling element bearing wear using multiple in-line and off-line sensing.
University of Southampton, School of Engineering Sciences, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Text
Mark_Craig_ncats_thesis.pdf
- Other
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Submitted date: May 2010
Organisations:
University of Southampton, Engineering Mats & Surface Engineerg Gp
Identifiers
Local EPrints ID: 185079
URI: http://eprints.soton.ac.uk/id/eprint/185079
PURE UUID: d3bb0e7e-74a3-4d27-bea9-3f7eaf37b093
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Date deposited: 25 May 2011 10:23
Last modified: 14 Mar 2024 03:10
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Author:
M. Craig
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