Title page for ETD etd-04122007-134841


Document Type Master's Dissertation
Author Oberholster, Abraham Johannes
URN etd-04122007-134841
Document Title The development of an on-line fan blade damage detection methodology
Degree MEng (Mechanical Engineering)
Department Mechanical and Aeronautical Engineering
Supervisor
Advisor Name Title
Prof P S Heyns
Keywords
  • Neural networks (Computer science)
  • Finite element method
  • Maintenance Vibration monitoring
  • Mechanical engineering Maintenance
Date 2004-02-17
Availability unrestricted
Abstract
Please read the abstract in the section, 00front of this document
Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  00front.pdf 2.08 Mb 00:09:38 00:04:57 00:04:20 00:02:10 00:00:11
  01chapter1.pdf 4.18 Mb 00:19:22 00:09:57 00:08:43 00:04:21 00:00:22
  02chapter2.pdf 1.45 Mb 00:06:43 00:03:27 00:03:01 00:01:30 00:00:07
  03chapter3.pdf 1.87 Mb 00:08:38 00:04:26 00:03:53 00:01:56 00:00:09
  04chapter4.pdf 2.61 Mb 00:12:04 00:06:12 00:05:25 00:02:42 00:00:13
  05chapter5.pdf 1.02 Mb 00:04:42 00:02:25 00:02:07 00:01:03 00:00:05
  06chapter6.pdf 1.12 Mb 00:05:09 00:02:39 00:02:19 00:01:09 00:00:05
  07chapter7.pdf 3.33 Mb 00:15:25 00:07:56 00:06:56 00:03:28 00:00:17
  08chapter8.pdf 2.97 Mb 00:13:45 00:07:04 00:06:11 00:03:05 00:00:15
  09chapter9.pdf 486.95 Kb 00:02:15 00:01:09 00:01:00 00:00:30 00:00:02
  10references.pdf 1.04 Mb 00:04:49 00:02:28 00:02:10 00:01:05 00:00:05
  11appendices.pdf 4.14 Mb 00:19:10 00:09:51 00:08:37 00:04:18 00:00:22

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