Volume 11, Issue 5 (12-2014)                   ioh 2014, 11(5): 20-29 | Back to browse issues page

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Shirali G, Askaripoor T, Kazemi E, Zohoorian Azad E, Marzban M. Assessment and risks ranking in a combined cycle power plant using degree of Belief approach in fuzzy logic . ioh. 2014; 11 (5) :20-29
URL: http://ioh.iums.ac.ir/article-1-1159-en.html
- , kazemie187@yahoo.com
Abstract:   (7393 Views)

  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.

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Type of Study: Research | Subject: Assessment and risk management
Received: 2013/12/22 | Accepted: 2014/09/17 | Published: 2014/11/22

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