Title :
Power plant construction project safety management evaluation with fuzzy neural network model
Author :
Niu, Dongxiao ; Wang, Yongli ; Ma, Xiaoyong
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Beijing
fDate :
Nov. 30 2008-Dec. 3 2008
Abstract :
Safety management is one of the main components of project management. Regarding to power plant construction, safety management evaluation is useful for the construction unit to find the potential hazard source, do practical precautions and generalize lessons for the future. The purpose of this paper is to establish an evaluation model for safety management evaluation. In this paper, the method of principle component analysis were used to deal with the original indexes, it selects the factors which are important for power plant construction evaluation through the method to pre-process all the influenced factors. Based on the pre-processed method, the fuzzy neural network was adopted to establish an evaluation model and classify the evaluation result. This was a new thought for the fuzzy neural network to be used in safety management evaluation for power plant construction project.
Keywords :
fuzzy neural nets; power engineering computing; power plants; principal component analysis; fuzzy neural network model; power plant construction project safety management evaluation; principle component analysis; project management; Artificial neural networks; Electrical safety; Energy management; Frequency; Fuzzy neural networks; Hazards; Power generation; Power system management; Power system modeling; Project management;
Conference_Titel :
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-2341-5
Electronic_ISBN :
978-1-4244-2342-2
DOI :
10.1109/APCCAS.2008.4746067