Title :
Research of the on-line hydropower units fault diagnosis based on fuzzy theory and multi-Agent
Author :
Zhirong, Yang ; Jianzhong, Zhou
Author_Institution :
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
To improve existing defects of on-line monitoring of hydropower generating units, the paper designs a MAS-based fault diagnosis system model. In allusion to the classic model of MAS-based fault diagnosis system, it improves information interactive features between mission-controlled subsystems and diagnosis task decomposition subsystem to increase the rate of control signal transmission and makes status-monitored subsystem to get abnormal signals directly from factory to increase sensitivity of system. In fault diagnosis subsystem of real-time fault diagnosis system, an MAS-based interactive parallel working structure is designed to meet requirements of high reliability and good real-time. Java-based software so called as JAFMAS is used to build platform to construct a multi-Agent coordination mechanism. Experimental results show the effectiveness of the proposed system.
Keywords :
Java; computerised monitoring; fault diagnosis; fuzzy set theory; hydroelectric power stations; multi-agent systems; power engineering computing; power generation faults; power generation reliability; JAFMAS; Java-based software; MAS-based fault diagnosis system model; MAS-based interactive parallel working structure; diagnosis task decomposition subsystem; fuzzy theory; hydropower generating units; mission-controlled subsystems; multiagent system; online hydropower unit fault diagnosis; online monitoring; status-monitored subsystem; Educational institutions; Monitoring; Agent; Fault diagnosis; Fuzzy Matrix; Hydropower generating units;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609947