Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICAL.2008.4636180
Title: Vision-assisted thermal monitoring system for CNC machine surveillance
Authors: Zhang, Y. 
Huang, S. 
Tan, K.K. 
Keywords: dSPACE
Frame difference
Gradient
Thermal monitoring
Vision-assisted
Visual tracking
Issue Date: 2008
Source: Zhang, Y.,Huang, S.,Tan, K.K. (2008). Vision-assisted thermal monitoring system for CNC machine surveillance. Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008 : 382-387. ScholarBank@NUS Repository. https://doi.org/10.1109/ICAL.2008.4636180
Abstract: Fault diagnosis and predictive maintenance indicate an economic issue as an efficient technique is able to continuously monitor the concerned process and trigger an alarm when critical changes in key variables are detected. In this paper, we present a CNC machine surveillance system based on vision-assisted thermal monitoring approach. Firstly, a calibrated camera will detect and track the milling and transmit the position data to a host computer. Secondly, a laser built-in thermometer will continuously read the temperature of the milling by following the milling based on the position data. Finally, the host computer will generate an alarm signal when the temperature exceeds a pre-set threshold. © 2008 IEEE.
Source Title: Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008
URI: http://scholarbank.nus.edu.sg/handle/10635/72169
ISBN: 9781424425020
DOI: 10.1109/ICAL.2008.4636180
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