Fire Risk Assessment of Passenger Train by using Fuzzy FMEA- Grey Theory

Abstract

This paper is about a risk assessment based approach, for the purpose of evaluating safety performance of the Iran railway industry in some known fire risk areas in a passenger train. The importance of fire investigation is totally due to the railway industry’s authority to control fire related elements and prevent such fire related incidents and accidents by implementing a proper planning and systematic education or at least reducing the damages to the passengers and their financial consequences. According to %25 increase in the fire rate during the period 1997-1999 and %11 reduction in the total rail accidents rate, the importance of fire risk assessment would be increased. Fuzzy FMEA based Grey theory analysis is used for fire risk analysis in three main parts of the railway industry, namely power and air conditioning of passenger wagons, generator and steam. The goal of this methodology are fire hazard detection and diagnosis to determine their causes, the occurrence rate and the severity of the hazard consequences qualitatively, computing the risk value of each failure in its specific subset and analyze the current fire related gaps in the railway industry. Providing a comprehensive data log of all fire mishap reports, would be a useful tool to develop quantitative hazard analysis and risk assessment approaches to improve the current qualitative risk evaluation method in the near future, for the purpose of safety and prevention of fire hazard and its consequences.

Keywords