Evaluation of the Effects of Measures for Preventing Accidents Caused by Human Error using Sensuous Level of Incidence

Abstract

This paper presents a reliability analysis using “sensuous level of incidence” for estimating the probability of accidents in chemical plants. The effects of measures to prevent accidents caused by human error are estimated quantitatively in the calculation based on the fault tree analysis. Here, the sensuous level of incidence is introduced as a sensitive variable because the frequent probability of a primary event connected with an accident tends to be not precise at present. By the analysis of plant accidents in an abnormal state, it is clarified that use of the sensuous level of incidence is effective for evaluateing the effects of preventive measures for accidents.