The University of Southampton
University of Southampton Institutional Repository

Development of automated bearing condition monitoring using artificial intelligence techniques

Development of automated bearing condition monitoring using artificial intelligence techniques
Development of automated bearing condition monitoring using artificial intelligence techniques
Chen, Su Liang
ffb45732-4c5d-4329-afa3-9cab1c38fd1c
Chen, Su Liang
ffb45732-4c5d-4329-afa3-9cab1c38fd1c
Wood, R.J.
d9523d31-41a8-459a-8831-70e29ffe8a73
Wang, L.
c50767b1-7474-4094-9b06-4fe64e9fe362

Chen, Su Liang (2009) Development of automated bearing condition monitoring using artificial intelligence techniques. University of Southampton, Engineering Sciences: nCATS Research Group, Doctoral Thesis, 339pp.

Record type: Thesis (Doctoral)
Text
Su_Liang_Chen_PhD_nCATS_2009.pdf - Other
Download (21MB)

More information

Published date: May 2009
Organisations: University of Southampton, nCATS Group

Identifiers

Local EPrints ID: 195557
URI: http://eprints.soton.ac.uk/id/eprint/195557
PURE UUID: 18a9f7e6-6a57-44f7-9996-312b113d4c0e
ORCID for R.J. Wood: ORCID iD orcid.org/0000-0003-0681-9239
ORCID for L. Wang: ORCID iD orcid.org/0000-0002-2894-6784

Catalogue record

Date deposited: 31 Aug 2011 09:52
Last modified: 15 Mar 2024 03:12

Export record

Contributors

Author: Su Liang Chen
Thesis advisor: R.J. Wood ORCID iD
Thesis advisor: L. Wang ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×