Methods and models of fuzzy logic in the systems of technical diagnostics

Abstract

Abstract In the report the main stages of the formation of a system of technical diagnostics based on the use of fuzzy methods are considered: creation of information model of the object of diagnosis (OD); creation on this basis of a fuzzy model describing the behavior of the object; formation of the block of decision-making and issue of recommendations. The field of application of models based on methods of fuzzy logic is diagnosing of the malfunctions developing relatively slowly or which are found out at an early stage. Several variants of formation of rules for fuzzy inference and of the resulting model are possible. When creating a model without generalizing parameter, all possible OD states can be leaded to two types – workable and inoperable, or to several states. For a model with a generalizing parameter, a criterial parameter is selected from private informative parameters; its change should maximally characterize the quality of OD. As a generalizing parameter, one can also calculate the dimensionless technical condition index, which is described by a one-dimensional function, the numerical values of which depend on controlled components of process. Outlined in the report stages of formation of a system of the technical diagnostics can be used during the modeling and drawing up the corresponding methodical recommendations.