ELIABILITY ASSESSMENT OF VENTILATION SYSTEMS USING NEURO-FUSSY NETWORKS

Abstract

The article is devoted to the problem of assessing the reliability of the ventilation systems. A new approach using mathematical devices - fuzzy logic and neuro-fuzzy networks as a universal approximator of complex (non-linear) functional relationships with the ability to use expert knowledge about the functioning of ventilation systems and determine an estimate of reliability. The structure of a neuro-fuzzy network reliability assessment of ventilation systems. The basic laws of the calculations for the processing of the experimental data to assess the reliability of ventilation systems to minimize the search criterion of quality adjustment system.