Gas-turbine diagnostics using artificial neural-networks for a high bypass ratio military turbofan engine

Using Safety Critical Artificial Neural Networks in Gas Turbine Aero-Engine Control

‘Safety Critical Artificial Neural Networks’ (SCANNs) have been previously defined to perform nonlinear function approximation and learning. SCANN exploits safety constraints to ensure identified failure modes are mitigated for highly-dependable roles. It represents both qualitative and quantitative knowledge using fuzzy rules and is described as a ‘hybrid’ neural network. The ‘Safety Lifecycle...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Tedann: Turbine Engine Diagnostic Artificial Neural Network

The U.S. Army Ordnance Center and School and Pacific Northwest Laboratory have developed a system that employs Artificial Neural Network (ANN) technology to perform diagnosis and prognosis of fuel flow problems in the AGT-1500 gas turbine engine of the M1A1 Abrams tank. This paper describes the design and prototype development of the diagnostic system, referred to as "TEDANN" for Turbine Engine...

Turbine Engine Diagnostics (TED)

expert system to aid the M1 Abrams tank mechanic find-and-fix problems in the AGT-1500 turbine engine. TED was designed to provide the apprentice mechanic with the ability to diagnose and repair the turbine engine like an expert mechanic. The expert system was designed and built by the U.S. Army Research Laboratory and the U.S. Army Ordnance Center and School. This article discusses the relevan...

Performance Based Anomaly Detection Analysis of a Gas Turbine Engine by Artificial Neural Network Approach

This present work follows our earlier research efforts on fault diagnosis and prognosis solutions considering statistical and physics based approaches. In-service performance analysis and detection of any malfunctioning in an operating small sized gas turbine engine using artificial neural network approach is the central theme of this work. The measured engine operating and performance paramete...