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The development of an on-line fan blade damage detection methodology

Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2007.

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Other Authors: Heyns, P.S. (Philippus Stephanus)
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Heyns, P.S. (Philippus Stephanus)
author_browse Heyns, P.S. (Philippus Stephanus)
author_facet Heyns, P.S. (Philippus Stephanus)
collection Thesis
dc_rights_str_mv © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2007.
format Thesis
id oai:repository.up.ac.za:2263/23935
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:39:55.528Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/23935 The development of an on-line fan blade damage detection methodology Heyns, P.S. (Philippus Stephanus) upetd@up.ac.za Oberholster, Abraham Johannes (Abrie) Neural networks (computer science) Finite element method Maintenance vibration monitoring Mechanical engineering maintenance UCTD Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2007. Please read the abstract in the section, 00front of this document Mechanical and Aeronautical Engineering unrestricted 2013-09-06T16:12:33Z 2007-04-12 2013-09-06T16:12:33Z 2004-02-17 2007-04-12 2007-04-12 Dissertation Oberholster, A 2004, The development of an on-line fan blade damage detection methodology, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/23935 > http://hdl.handle.net/2263/23935 http://upetd.up.ac.za/thesis/available/etd-04122007-134841/ © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria
spellingShingle Neural networks (computer science)
Finite element method
Maintenance vibration monitoring
Mechanical engineering maintenance
UCTD
The development of an on-line fan blade damage detection methodology
title The development of an on-line fan blade damage detection methodology
title_full The development of an on-line fan blade damage detection methodology
title_fullStr The development of an on-line fan blade damage detection methodology
title_full_unstemmed The development of an on-line fan blade damage detection methodology
title_short The development of an on-line fan blade damage detection methodology
title_sort development of an on line fan blade damage detection methodology
topic Neural networks (computer science)
Finite element method
Maintenance vibration monitoring
Mechanical engineering maintenance
UCTD
url http://hdl.handle.net/2263/23935
http://upetd.up.ac.za/thesis/available/etd-04122007-134841/