Use of soft computing methods in risk assessment of electrostatic fire and explosion hazards in industries

Abstract

The general problem in the theoretical and practical examination of hazards coming into existence in case of real, complicated industrial systems is basically the approximation of complicated multivariable functions of input and output variables. There is a rather new tool for solving the aforesaid problem, namely the use of soft computing methods: fuzzy logic, artificial neural networks and genetic algorithms. The new approaches can be effectively used for both the risk evaluation of working systems (checking and auditing) and—by using the predictive power of the methods—for designing and planning activities in industrial electrostatics.