A Digital Diagnostic System for a Small Turbojet Engine

Abstract

During the lifecycle of a system not only functionality but also other aspects like safety and reliability are very important. These terms are even more important when connected to aviation in engine and avionic systems control. The reason is simple, a failure must not cause a shutdown of a system during the flight as it would cause a catastrophe. The article deals with the proposal of a progressive diagnostics/backup system using a modified voting method with computational backup models using neural networks. The proposed architecture is expected to be suitable for turbojet engines and was tested on a laboratory object, a small turbojet engine MPM-20 with positive results under operational conditions.