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Nikolaos Aretakis

Researcher at National Technical University of Athens

Publications -  51
Citations -  582

Nikolaos Aretakis is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Gas compressor & Turbine. The author has an hindex of 15, co-authored 49 publications receiving 527 citations.

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Journal ArticleDOI

Turbocharger Unstable Operation Diagnosis Using Vibroacoustic Measurements

TL;DR: In this article, an experimental study is performed, in order to acquire and analyze test data, to find out whether vibration or acoustic measurements can be correlated to aerodynamic operating condition.
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Identification of sensor faults on turbofan engines using pattern recognition techniques

TL;DR: In this article, the possibility to identify faults in the readings of the sensors used to monitor the performance of a high by-pass ratio turbofan engine is examined based on the following principle: if a measurement set is fed to an adaptive performance analysis algorithm, a set of component performance modification factors (fault parameters) is produced.
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Performance analysis of industrial gas turbines for engine condition monitoring

TL;DR: In this article, the authors present methods of analysing aerodynamic performance measurement data for the purpose of assessing the condition of the components of a gas turbine and present results from application to data from operating industrial gas turbines.
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Nonlinear Engine Component Fault Diagnosis From a Limited Number of Measurements Using a Combinatorial Approach

TL;DR: In this article, a method for diagnosing component faults of jet engines is presented, which uses nonlinear gas path analysis techniques to determine the values of health parameters, with the help of a suitably formulated engine simulation model.
Proceedings ArticleDOI

Combining Advanced Data Analysis Methods for the Constitution of an Integrated Gas Turbine Condition Monitoring and Diagnostic System

TL;DR: In this article, the authors present principles for the constitution of gas turbine monitoring and diagnostic systems which:a. are integrated, namely manage all the tasks essential for achieving a diagnosis (measurement, analysis, interpretation, historical data management etc.)b. employ different kind of processing methods in order to cover an extensive range of engine conditions, including direct data evaluation and data consistency checks, thermodynamic analysis, vibration analysis.