Diagnosing of the condition aviation gas-turbine with application of neural networks

Abstract

At present in area aviation engine a structure creation of uniform methodology of development of algorithms of designing and training of a various kind of neural networks with reference to the decision of problems on diagnostics of a condition aviation gasturbine and comparison of efficiency neural networks a method with existing methods of parametrical diagnostics is actual.