Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71811
Title: Software implementation of a computer-vision-based tool condition monitoring system
Authors: Mannan, M.A. 
Kassim, A. 
Ho, C.S.
Mian, Z.
Keywords: Run length statistics
Texture analysis
Tool condition monitoring
Issue Date: 2002
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
URI: http://scholarbank.nus.edu.sg/handle/10635/71811
Appears in Collections:Staff Publications

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