Sensor selection is important for process monitoring. Each time a machining system is reconfigured, the corresponding monitoring system needs to be re-designed for effective detection of the faults of interest. To accomplish this, a sensor selection methodology is proposed in this paper. Fuzzy theory is utilized for the multi-criteria decision-making process. Evaluation criteria are selected based on a thorough study of fault characteristics. Under subjective criteria, the ratings of different sensors are evaluated using linguistic terms, which are converted to trapezoidal fuzzy numbers. Under objective criteria, the fuzzy performance of each sensor is obtained directly from its specifications. The suitable sensor or sensors can be selected by aggregating and ranking the fuzzy numbers. Sensor selection in the turning process is used to illustrate the proposed methodology.
A Method for Sensor Selection in Reconfigurable Process Monitoring
Contributed by the Manufacturing Engineering Division for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received March 2000; Revised May 2002. Associate Editor. R. Furness.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Wang , L., Kannatey-Asibu, , E., and Mehrabi, M. G. (March 4, 2003). "A Method for Sensor Selection in Reconfigurable Process Monitoring ." ASME. J. Manuf. Sci. Eng. February 2003; 125(1): 95–99. https://doi.org/10.1115/1.1531145
Download citation file:
- Ris (Zotero)
- Reference Manager