Fuzzy models and system technical condition estimation criteria

Abstract

The problem of the limited hardware capability of the parametric tolerance control process of the state of technical systems is considered. A more complete assessment of the technical condition of a workable product is necessary to support decision making and reduce risks. An approach to estimating the parameters of systems based on the theory of fuzzy sets to determine the state characterized by considerable uncertainty and incompleteness of information for its modeling by traditional methods is proposed. This approach is applicable to the organization of tolerance control at different stages of the life cycle. This approach uses an additional fuzzy classification of parameter values to increase the reliability of control results, taking into account uncertainty factors. It is proposed to use the working capacity criterion, the criterion for the steadiness of the tendency of the dynamics, the criterion of the rate of change of the parameter, and the complex criterion for working capacity level in addition to the criterion of belonging to tolerance zones. Four fuzzy classifiers have been developed, which allow to take into account the inaccuracy and approximation of the initial information, operate with linguistic criteria and include qualitative variables in the analysis. The procedure for estimating the value of the parameter according to the complex criterion for working capacity level is considered.