Neural networks for gas turbine engine diagnosing

Neural Networks for Gas Turbine Diagnosis

The present chapter addresses the problems of gas turbine gas path diagnostics solved using artificial neural networks. As a very complex and expensive mechanical system, a gas turbine should be effectively monitored and diagnosed. Being universal and powerful approximation and classification techniques, neural networks have become widespread in gas turbine health monitoring over the past few y...

Wireless Communication Networks for Gas Turbine Engine Testing

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Gas Turbine Engine Behavioral Modeling

This paper develops and validates a power flow behavioral model of a gas turbine engine with a gas generator and free power turbine. “Simple” mathematical expressions to describe the engine’s power flow are derived from an understanding of basic thermodynamic and mechanical interactions taking place within the engine. The engine behavioral model presented is suitable for developing a supervisor...

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...

Titanium in the Gas Turbine Engine