Title :
Failure mode risk analyzing based on grey theory for power plant steam turbine proper
Author :
Wang, Y. ; Yuan, J. ; Zhang, D.
Author_Institution :
Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
As one of the top three main equipment groups in power plant, steam turbine system has an essential effect on the reliability and economy of energy production. And the steam turbine proper is the priority among priorities. Failure mode and effects analysis (FMEA) is the technique to help effectively perform hazard prevention and power systems maintenance. In traditional analysis methods, includes fuzzy inference, the risk priority number (RPN) ranking mechanism was utilized which has several drawbacks. An improved ranking method based on grey theory is put forward with taking steam turbine for example in this paper. Analysis results are compared in the final.
Keywords :
economics; electricity supply industry; failure analysis; fuzzy set theory; grey systems; power plants; reliability; steam turbines; economy; energy production; failure mode risk analysis; fuzzy inference; grey theory; power plant; reliability; risk priority number ranking; steam turbine system; Failure analysis; Hazards; Maintenance; Performance analysis; Power generation; Power system analysis computing; Power system reliability; Production systems; Risk analysis; Turbines; FMEA; Grey theory; risk priority number (RPN); steam turbine proper;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344440
