The Diagnosis and Prediction of the State of a Gas-Turbine Engine by Hybrid Neuro-Fuzzy Expert Systems

摘要

The problem of constructing diagnostic neuro-fuzzy expert systems (ESs) is considered. An architecture of a neuro-fuzzy ES and its subsystems is proposed. A comparative analysis of separate models and combined neural networks is performed as applied to the diagnosis of an aircraft gas-turbine engine (GTE). The problem of effective interaction of diverse knowledge in a hybrid neuro-fuzzy ES is solved.