| Issue |
MATEC Web Conf.
Volume 349, 2021
6th International Conference of Engineering Against Failure (ICEAF-VI 2021)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 8 | |
| Section | Components and Structural Elements in Engineering Applications: Design, Detections of Defects, Structural Health Monitoring | |
| DOI | https://doi.org/10.1051/matecconf/202134903011 | |
| Published online | 15 November 2021 | |
A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
Amsterdam University of Applied Sciences, Weesperzijde 190, 1097 DZ, Amsterdam, Netherlands
* Corresponding author: a.apostolidis@hva.nl
This work focuses on humidity effects of turbofan engines, in order to identify the magnitude of the error in operational conditions and the implications on maintenance decision support. More specifically, this paper employs a set of different methods, including semi-empirical corrections used in engine test beds, performance simulation models and analysis of historical data, in order to investigate the effects of humidity. We show that varying humidity can have a noticeable influence on the performance of the engine. These discrepancies cannot be currently quantified by health monitoring systems. Simulation and test bed correlations indicate a decrease of EGT of 0.35% per 1wt% of absolute humidity, which varies worldwide between 0 and 3wt%. Consequently, deviations in EGTM can be up to 1%, a figure which can be up to 12K for a modern civil turbofan. In practice, variations in ambient humidity have the potential to conceal possible deterioration in engine components. Following, the flight historical data were corresponded to historical humidity data. The two methods were identified to provide comparable results, indicating a higher EGTM for increasing ambient humidity. Overall, it was concluded that EGTM corrections for ambient humidity is an area of significant interest, especially for newer engine types where accurate diagnostics are of increasing importance.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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