TY  - JOUR
T1  - Application of Fuzzy Model Identification on Insulation Detection of Insulator Strings
AU - , XU Xiaoning AU - , NIE Yixiong AU - , CHENG Hanxiang 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 1
SP  - 24
EP  - 27
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.24.27
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.24.27
KW  - Insulation detection
KW  -fuzzy model identification
KW  -insulators
KW  -diagnosis method
AB  - There are many uncertain factors to influence the results in the fault diagnosis of power equipment. Fuzzy set theory is an effective tool to solve these problems. By means of the fuzzy relation operation, the relevant results can be obtained from the input data or the output data. Since the fuzzy relation matrix is usually depending on experts` experience, it is deeply affected by the man-made factors. Fuzzy model identification is an approach to determine fuzzy model, which is based on the known input-output data. It can decrease the man-made influence and increase the correctness of fault diagnosis. This paper introduced the realizing process of the fuzzy logical reasoning method about the insulation detection of insulator strings, especially about the establishment of the fuzzy relation matrix. The experiments verified the correctness of this method by simulating work conditions of insulator strings on an 110kV transmission line.
ER  -