Comparison of error tree analysis and TRIPOD BETA in accident analysis of a power plant industry using hierarchical analysis

Abstract

Introduction: Due to the importance and necessity of accident analysis, it is necessary to use the proper technique for precise accident analysis and provide corrective and preventive measures to prevent an accident's recurrence.

Materials and Methods: In this descriptive-analytical paper, the most important criteria for investigating and selecting accident investigation and analysis techniques and selecting the best accident analysis method were identified in critical industrial accidents in the construction phase, were identified and analyzed. In this study, the most important criteria for selecting an accident analysis method were identified using previous research and gathering expert opinions. Then, two critical power plant accidents were analyzed using TRIPOD BETA and FTA accident analysis methods. Then the pairwise comparisons matrix was formed based on the strengths and weaknesses of the models. Finally, the prioritization of these two methods was done using the hierarchical analysis decision-making method. 

Results: In this paper, seven key factors, model realism, model descriptive, systematic modeling, run time, required training courses, ability to quantify, and visibility of events, were identified as the most important criteria for selecting an incident analysis method.

Conclusion: The TRIPOD BETA method has been introduced as an optimal method for investigating specific events due to its capabilities.