Document Type	Doctoral Thesis
Author	Scheffer, Cornelius
URN	etd-10122006-111142
Document Title	Development of a wear monitoring system for turning tools using artificial intelligence
Degree	PhD (Mechanical Engineering)
Department	Mechanical and Aeronautical Engineering
Supervisor	Advisor Name Title Prof P S Heyns
Keywords	Turning Vibration testing Machine-tools monitoring Artificial intelligence Mechanical wear
Date	2003-09-01
Availability	unrestricted
Abstract Please read the abstract (Summary) in the 00front part 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 3.20 Mb 00:14:50 00:07:37 00:06:40 00:03:20 00:00:17   01chapter1.pdf 1.71 Mb 00:07:55 00:04:04 00:03:33 00:01:46 00:00:09   02chapter2.pdf 6.51 Mb 00:30:08 00:15:29 00:13:33 00:06:46 00:00:34   03chapter3.pdf 8.58 Mb 00:39:42 00:20:25 00:17:52 00:08:56 00:00:45   04chapter4.pdf 9.51 Mb 00:44:00 00:22:38 00:19:48 00:09:54 00:00:50   05chapter5.pdf 8.60 Mb 00:39:47 00:20:27 00:17:54 00:08:57 00:00:45   06chapter6.pdf 5.54 Mb 00:25:38 00:13:11 00:11:32 00:05:46 00:00:29   07chapter7.pdf 6.05 Mb 00:27:59 00:14:23 00:12:35 00:06:17 00:00:32   08appendices.pdf 15.74 Mb 01:12:53 00:37:29 00:32:48 00:16:24 00:01:23