Semnan University of Medical Sciences

Research and Technology Vice Chancellor

Shirali, GA and Askaripoor, T and Kazemi, E and Zohoorian Azad, E and Marzban, M (2014) Assessment and risks ranking in a combined cycle power plant using degree of Belief approach in fuzzy logic. Source of the Document Iran Occupational Health. pp. 20-29.

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    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 , 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 , 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. Keywords: Power plant, Risk assessment, Fuzzy logic, Ranking, Degree of belief

    Item Type: Article
    Subjects: R Medicine > R Medicine (General)
    Divisions: Faculty of Medical Sciences > School of Medicine
    Depositing User: Mr Vahab Moshtaghi
    Date Deposited: 03 Oct 2016 15:05
    Last Modified: 03 Oct 2016 15:05

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