A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction

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 en...

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Autores principales:	Apostolidis Asteris, Stamoulis Konstantinos P.
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/b471c86e057b49b4803d0fd27932a1a4
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id	oai:doaj.org-article:b471c86e057b49b4803d0fd27932a1a4
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spelling	oai:doaj.org-article:b471c86e057b49b4803d0fd27932a1a42021-12-02T17:13:46ZA Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction2261-236X10.1051/matecconf/202134903011https://doaj.org/article/b471c86e057b49b4803d0fd27932a1a42021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03011.pdfhttps://doaj.org/toc/2261-236XThis 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.Apostolidis AsterisStamoulis Konstantinos P.EDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 349, p 03011 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Apostolidis Asteris Stamoulis Konstantinos P. A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
description	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.
format	article
author	Apostolidis Asteris Stamoulis Konstantinos P.
author_facet	Apostolidis Asteris Stamoulis Konstantinos P.
author_sort	Apostolidis Asteris
title	A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
title_short	A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
title_full	A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
title_fullStr	A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
title_full_unstemmed	A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction
title_sort	health monitoring modelling case study: humidity effects on engine deterioration prediction
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/b471c86e057b49b4803d0fd27932a1a4
work_keys_str_mv	AT apostolidisasteris ahealthmonitoringmodellingcasestudyhumidityeffectsonenginedeteriorationprediction AT stamouliskonstantinosp ahealthmonitoringmodellingcasestudyhumidityeffectsonenginedeteriorationprediction AT apostolidisasteris healthmonitoringmodellingcasestudyhumidityeffectsonenginedeteriorationprediction AT stamouliskonstantinosp healthmonitoringmodellingcasestudyhumidityeffectsonenginedeteriorationprediction
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A Health Monitoring Modelling Case Study: Humidity Effects on Engine Deterioration Prediction

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