DocumentCode :
2820925
Title :
Evaluating the Safety of Thermal Power Plant via Grey Clustering
Author :
Liu He ; Wang Ya-jing
Author_Institution :
Dept. Autom., North China Electr. Power Univ., Beijing, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
A method of employing grey clustering to evaluate the safety of thermal power plant was proposed. The safety class of thermal power plant was classified for five grades. The feature space, which represented safety characteristics of thermal power plant, was put forward. The concrete evaluation contents of feature space were provided. The feature vector value to evaluate safety of thermal power plant was got by Delphi´s method. Improved grey clustering based on triangle whitenization function was used to cluster feature vector. Membership degrees belonged to each classification and grey variable weight clustering coefficients were calculated and the safety level of thermal power plant was finally confirmed. The results show that the method can effectively classify the safety level of thermal power plant and provide a way of evaluating safety of thermal power plant.
Keywords :
grey systems; safety; statistical analysis; thermal power stations; Delphi´s method; cluster feature vector; concrete evaluation contents; feature space; feature vector value; grey clustering; grey variable weight clustering coefficients; safety characteristics; thermal power plant safety; Boilers; Electrical safety; Management training; Power generation; Power system management; Product safety; Railway safety; Safety devices; Thermal management; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5363569
Filename :
5363569
Link To Document :
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