Comprehensive evaluation of Maglev train risk based on fuzzy theory

Abstract

The process of risk-based maintenance not only considers the probability of the malfunctions of the system components, but also considers many risk factors integrally such as personal safety, parking loss, maintenance costs, environmental impact and so on. These risk factors are often with uncertainty and ambiguity. Based on the above problems, this paper puts forward a comprehensive evaluation method of equipment risk based on fuzzy theory. The method uses fuzzy analytic hierarchy process and fuzzy comprehensive evaluation method to establish a fuzzy evaluation method which supports the expert opinion. Combined with the severity of the consequences of the malfunctions, the method of the risk level evaluation is proposed. Maintenance decisions become more practical, by giving the appropriate maintenance recommendations.