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