Decoupled tracking and thermal monitoring of non-stationary targets.
Fault diagnosis and predictive maintenance address pertinent economic issues relating to production systems as an efficient technique can continuously monitor key health parameters and trigger alerts when critical changes in these variables are detected, before they lead to system failures and production shutdowns. In this paper, we present a decoupled tracking and thermal monitoring system which can be used on non-stationary targets of closed systems such as machine tools. There are three main contributions from the paper. First, a vision component is developed to track moving targets under a monitor. Image processing techniques are used to resolve the target location to be tracked. Thus, the system is decoupled and applicable to closed systems without the need for a physical integration. Second, an infrared temperature sensor with a built-in laser for locating the measurement spot is deployed for non-contact temperature measurement of the moving target. Third, a predictive motion control system holds the thermal sensor and follows the moving target efficiently to enable continuous temperature measurement and monitoring.
Tan
Kok Kiong
KK
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore. eletankk@nus.edu.sg
Zhang
Yi
Y
Huang
Sunan
S
Wong
Yoke San
YS
Lee
Tong Heng
TH
D000465:Algorithms; D002138:Calibration; D004784:Environmental Monitoring / Q000295:instrumentation*; D007091:Image Processing, Computer-Assisted; D007221:Industry / Q000295:instrumentation*; D016014:Linear Models; D009038:Motion; D013696:Temperature; D013821:Thermometers; D014741:Video Recording