| Title |
Development of Fuzzy Inference-based Deterioration Diagnosis System Using Infrared Thermal Imaging Camera |
| Authors |
최우용(Choi, Woo-Yong) ; 김종범(Kim, Jong-Bum) ; 오성권(Oh, Sung-Kwun) ; 김영일(Kim, Young-Il) |
| DOI |
https://doi.org/10.5370/KIEE.2015.64.6.912 |
| Keywords |
Infrared thermal imaging camera ; Fuzzy inference algorithm ; Deterioration diagnosis ; Variation |
| Abstract |
In this paper, we introduce fuzzy inference-based real-time deterioration diagnosis system with the aid of infrared thermal imaging camera. In the proposed system, the infrared thermal imaging camera monitors diagnostic field in real time and then checks state of deterioration at the same time. Temperature and variation of temperature obtained from the infrared thermal imaging camera variation are used as input variables. In addition to perform more efficient diagnosis, fuzzy inference algorithm is applied to the proposed system, and fuzzy rule is defined by If-then form and is expressed as lookup-table. While triangular membership function is used to estimate fuzzy set of input variables, that of output variable has singleton membership function. At last, state of deterioration in the present is determined based on output obtained through defuzzification. Experimental data acquired from deterioration generator and electric machinery are used in order to evaluate performance of the proposed system. And simulator is realized in order to confirm real-time state of diagnostic field |