Title :
Notice of Retraction
Research on Fault Diagnosis of Hydroelectric Sets Vibration Based on MAS and Petri Net
Author :
Liu Hui ; Ding Tan ; Chen Hui
Author_Institution :
Coll. of Hydropower & Inf., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Multi-Agent technology was introduced in hydropower generating units vibration fault diagnosis system and combined fuzzy Petri Net technology to set up fault diagnosis system model. Each Agent in the model was on behalf of an intelligent fault diagnosis method, using the matrix calculation method of Petri network knowledge and reasoning to describe the fault and fault sign of the relationship between Agent, and can make more concerted efforts and coordinated and integrated use of Agent and get the diagnosis result. The diagnostic system of the model can make full use of information resources and made the results got in different diagnostic methods coordinated and integrated. When the Fault Feature signal was normal, the system can get more accurate diagnostic results. Example experiment proved that the diagnosis system has very good speed, coordination and accuracy.
Keywords :
Petri nets; fault diagnosis; hydroelectric power stations; matrix algebra; multi-agent systems; power generation faults; power system analysis computing; vibrations; MAS; fault feature signal; fuzzy Petri Net technology; hydroelectric sets vibration; hydropower generating units vibration fault diagnosis system; intelligent fault diagnosis method; matrix calculation method; multi-agent technology; Data acquisition; Data analysis; Educational institutions; Fault diagnosis; Fuzzy sets; Fuzzy systems; Hydroelectric power generation; Knowledge management; Testing; Vibrations;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
DOI :
10.1109/APPEEC.2009.4918685