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http://dx.doi.org/10.5139/JKSAS.2021.49.4.311

A Study on Real Time Fault Diagnosis and Health Estimation of Turbojet Engine through Gas Path Analysis  

Han, Dong-Ju (Department of Aviation Maintenance Engineering, Kukdong University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.49, no.4, 2021 , pp. 311-320 More about this Journal
Abstract
A study is performed for the real time fault diagnosis during operation and health estimation relating to performance deterioration in a turbojet engine used for an unmanned air vehicle. For this study the real time dynamic model is derived from the transient thermodynamic gas path analysis. For real fault conditions which are manipulated for the simulation, the detection techniques are applied such as Kalman filter and probabilistic decision-making approach based on statistical hypothesis test. Thereby the effectiveness is verified by showing good fault detection and isolation performances. For the health estimation with measurement parameters, it shows using an assumed performance degradation that the method by adaptive Kalman filter is feasible in practice for a condition based diagnosis and maintenance.
Keywords
Fault Detection and Isolation; Gas Path Analysis; Health Estimation; Kalman Filter; Linear Model; Real Time Fault Diagnosis; Turbojet Engine;
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Times Cited By KSCI : 1  (Citation Analysis)
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