Title :
Research on fuzzy recognition method of boiler four-tube leakage
Author :
Jianqiang, Gao ; Xianglei, Yin ; Zhifu, Hou
Author_Institution :
North China Electr. Power Univ., Baoding, China
Abstract :
Based on the characteristic of 300 MW power station boiler four-tube leakage, the knowledge library of four-tube leakage fault was established. A new method of diagnosing four-tube leakage using threshold value principle and maximum membership principle was proposed. This method presents fault distance, fault-free radius, distance of fault threshold value, and could be visualized into geometry form. Diagnosis example shows that this new method has high accuracy when it is used for diagnosing four-tube leakage. This kind of geometry form is conducive to reveal the fault law and the links between various faults.
Keywords :
boilers; fault diagnosis; fuzzy set theory; pattern recognition; boiler four-tube leakage; fault distance; fault threshold value; fault-free radius; four-tube leakage fault; fuzzy recognition; geometry form; maximum membership principle; threshold value principle; Boilers; Electron tubes; Fault diagnosis; Geometry; Libraries; Power generation; Power systems;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008271