Please use this identifier to cite or link to this item:
|Title:||Software implementation of a computer-vision-based tool condition monitoring system|
|Authors:||Mannan, M.A. |
|Keywords:||Run length statistics|
Tool condition monitoring
|Source:||Mannan, M.A.,Kassim, A.,Ho, C.S.,Mian, Z. (2002). Software implementation of a computer-vision-based tool condition monitoring system. Technical Paper - Society of Manufacturing Engineers. MR (MR02-152) : 1-8. ScholarBank@NUS Repository.|
|Abstract:||This paper discusses the development and testing of a working prototype of a tool condition monitoring system that uses a low-cost and convenient computer-vision-based approach to analyze images of a machined surface. The prototype system is able to monitor a machining operation in-progress and give the operator feedback on the tool condition. The results clearly indicate that tool condition monitoring, defined as the ability to distinguish between a sharp, a semi-dull or a dull tool can be successfully accomplished by such a system.|
|Source Title:||Technical Paper - Society of Manufacturing Engineers. MR|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 16, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.