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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.