Assessment and risks ranking in a combined cycle power plant using degree of Belief approach in fuzzy logic

Assessment and risks ranking in a combined cycle power plant using degree of Belief approach in fuzzy logic

Blog Article

Background and aims: Power plants are the most important infrastructure for economic development with technological advances and sophisticated technology , are subject to risks and accidents.Despite of uncertainty and ambiguity , offer the Solution that can by combine information to identify hazards gtech brush bar , assess and risk rank ing may effective to control and reduction of occupational accidents.This survey targeted to identify and assess hazards, determine and rank the effective safety risks in a combined cycle power plant.Methods: To identify hazard , was used documentation review , interviews with experts , brainstorming sessions , knowledge and experience group of experts in occupational health and safety engineering.For risk analysis , used fuzzy classification for severity and frequency by previous studies and expert opinion.

Finally the risks were ranked based on using degree of Belief approach in fuzzy logic.Results: in the present study , among the 11 cases of identified hazards , explosion and fire gas turbines and bust steam pipes under pressure, with the degree of belief 0/56 sukin body lotion woolworths , ranked in the first place and fell in tanks reservoirs and canals with degree of belief 0/21 had second place.Conclusion: So far , few risk assessment tools and techniques have been proposed in power plan t.In this study, despite of use subjective and qualitative variables , but for measuring these variables were used the absolute numbers and mathematical methods.Therefore this study is important and can be suitable and accurate approach to address the technical deficiencies in this section.