Integrated safety assessment modeling and application

It is required to deal quantitatively with the uncertainty of information and ambiguities involved in the data for safety assessment modeling. In order to improve the reliability of results and practicability of system functionality, an integrated model of safety assessment for thermal power plants is proposed. The multi-hierarchy valuation structure is established on a basis of key influence factors for the thermal power plant safety. The weight of factors is calculated by fuzzy analytical hierarchy process (FAHP), the connection degree among the factors is obtained by set pair analysis (SPA) and the preponderant function of system safety is constructed for resolving the problem that systems safety preponderates over the weight sum of sub-systems safety. The immanence relation and nonlinear influence of safety factors in thermal power plants can be quantified. A case study that assesses the thermal power plant safety methods is presented to illustrate the use of the model and to demonstrate the capability of the model.

[1]  Harley D. Dickinson,et al.  Knowledge-system theory in society: Charting the growth of knowledge-system models over a decade, 1994-2003 , 2007, J. Assoc. Inf. Sci. Technol..

[3]  Peng Kun Study on application of Fuzzy-AHP in risk evaluation and bidding decision-making of Duber Khwar hydropower project , 2004 .

[4]  Zhuo Fu,et al.  Entropy-Weight-AHP Evaluation on Clustering in Logistics Parks , 2007 .

[5]  Cui Ting A Study on the Emergence Mechanism and Level Evolvement of the Corporation Competence System , 2007, 2007 International Conference on Management Science and Engineering.

[6]  Yuan Yao,et al.  Systems information in set pair analysis and its applications , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[7]  Eric B. Dent,et al.  The Origins and Purposes of Several Conceptions of Systems Theory and Cybernetics , 1999 .

[8]  Jun Wang,et al.  Safety Assessment for Power Plants using Analytical Hierarchy Process and System Functionality , 2007, 2007 IEEE International Conference on Networking, Sensing and Control.

[9]  Pan Bin,et al.  Study on Supplier Selection Based on AHP and BP Neural Network , 2008, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008).

[10]  Eric B. Dent,et al.  The Origins and Purposes of several Traditions in Systems Theory and Cybernetics , 1999, Cybern. Syst..

[11]  H. N. Suresh,et al.  PRIORITIZING FEEDERS FOR MAINTENANCE ACTIVITIES USING AHP IN NUCLEAR POWER PLANTS , 2007 .