Gas Turbine Engine Anomaly Detection Through Computer Simulation Technique of Statistical Correlation

Anomaly Detection in Aircraft Gas Turbine Engines

Computer Simulation of a Gas Turbine Performance

The current research is aimed at carrying out an exergy analysis of a 33-MW gas turbine power plant that operates on the Brayton cycle. Quantitative exergy analysis for each component and for the whole system was done. Based on the exergy balance models developed, a computer program is written which is used to investigate the performance of the power plant under varying ambient and turbine inle...

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...

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...

Network Traffic Anomaly Detection Through Correlation Integrals

Due to the close relationship between the correlation integral and the fractal dimension, it is natural to presume that the correlation integral is also capable of characterizing network traffic. In this paper, we use captured traffic traces to illustrate that one can indeed describe the dynamics of the Internet traffic with a template of correlation integrals. Furthermore, this template can be...