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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
Advanced condition monitoring to predict rolling element bearing wear using multiple in-line and off-line sensing
Craig, M.
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Craig, M.
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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)
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Mark_Craig_ncats_thesis.pdf - Other
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More information

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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Contributors

Author: M. Craig

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