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Development Smart Sensor & Estimation Method to Recognize Materials  

Hwang, Seong-Youn (전주대학교)
Hong, Dong-Pyo (전북대학교 기계항공시스템 공학부)
Chung, Tae-Jin (군산대학교 기계공학부)
Kim, Young-Moon (전북대학교 건축기계공학과)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.15, no.3, 2006 , pp. 73-81 More about this Journal
Abstract
This paper describes our primary study for a new method of recognizing materials, which is need for precision work system. This is a study of dynamic characteristics of smart sensors, new method$(R_{SAI})$ has the sensing ability of distinguishing materials. Experiment and analysis are executed for finding the proper dynamic sensing condition. First, we developed advanced smart sensor. We made smart sensors for experiment. The type of smart sensor is HH type. The smart sensor was developed for recognition of material. Second, we develop new estimation methods that have a sensing ability of distinguish materials. Dynamic characteristics of sensor are evaluated through new recognition index$(R_{SAI})$ that ratio of sensing ability index. Distinguish of object is executed with $R_{SAI}$ method relatively. We can use the $R_{SAI}$ method for finding materials. Applications of this method are finding abnormal condition of object (auto-manufacturing), feeling of object(medical product), robotics, safety diagnosis of structure, etc.
Keywords
Smart Sensor; Sensing Ability Index; Auto-Correlation Function; Weighting Function; $R_{SAI}$ Index;
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