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Usage Monitoring of Helicopter Gearboxes with ADS-B Flight Data

Hünemohr, David ; Litzba, Jörg ; Rahimi, Farid (2022)
Usage Monitoring of Helicopter Gearboxes with ADS-B Flight Data.
In: Aerospace, 2022, 9 (11)
doi: 10.26083/tuprints-00022831
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (Abstract)

Health and usage monitoring systems (HUMS) are the basis for condition-based maintenance of helicopters. One of the most critical systems in terms of safety and maintenance expense that can be monitored by HUMS are the main gearboxes of helicopters with turbine engines. While the health monitoring part of HUMS aims to model the health state from the collected sensor data with advanced algorithms, such as machine learning, the usage monitoring part tracks the time of use and operating parameters of the system, such as load, to determine lifetime consumption. In the presented work, a combination of automatic dependent surveillance-broadcast (ADS-B) flight data with a generic helicopter performance model is used to acquire torque profiles of the gearboxes. With damage accumulation methods, the load spectra are transformed to aggregated indicators that reflect the individual gearbox usage. The methodology is applied to samples of two helicopters from a five-year ADS-B data set of German helicopter emergency medical services (HEMS) acquired for the study. The results demonstrate the feasibility of the generic approach, which can support maintenance scheduling and new usage-based maintenance services independent of direct access to installed HUMS.

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Hünemohr, David ; Litzba, Jörg ; Rahimi, Farid
Art des Eintrags: Zweitveröffentlichung
Titel: Usage Monitoring of Helicopter Gearboxes with ADS-B Flight Data
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2022
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Aerospace
Jahrgang/Volume einer Zeitschrift: 9
(Heft-)Nummer: 11
Kollation: 17 Seiten
DOI: 10.26083/tuprints-00022831
URL / URN: https://tuprints.ulb.tu-darmstadt.de/22831
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

Health and usage monitoring systems (HUMS) are the basis for condition-based maintenance of helicopters. One of the most critical systems in terms of safety and maintenance expense that can be monitored by HUMS are the main gearboxes of helicopters with turbine engines. While the health monitoring part of HUMS aims to model the health state from the collected sensor data with advanced algorithms, such as machine learning, the usage monitoring part tracks the time of use and operating parameters of the system, such as load, to determine lifetime consumption. In the presented work, a combination of automatic dependent surveillance-broadcast (ADS-B) flight data with a generic helicopter performance model is used to acquire torque profiles of the gearboxes. With damage accumulation methods, the load spectra are transformed to aggregated indicators that reflect the individual gearbox usage. The methodology is applied to samples of two helicopters from a five-year ADS-B data set of German helicopter emergency medical services (HEMS) acquired for the study. The results demonstrate the feasibility of the generic approach, which can support maintenance scheduling and new usage-based maintenance services independent of direct access to installed HUMS.

Freie Schlagworte: HUMS, usage monitoring, PHM, helicopter, gearbox, ADS-B flight data, HEMS
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-228310
Zusätzliche Informationen:

This article belongs to the Special Issue Selected Papers from the 1st International Conference for CBM in Aerospace

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet für Flugsysteme und Regelungstechnik (FSR)
Hinterlegungsdatum: 04 Nov 2022 12:06
Letzte Änderung: 07 Nov 2022 09:54
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