Issue |
MATEC Web Conf.
Volume 314, 2020
International Cross-Industry Safety Conference (ICSC) – International Symposium on Aircraft Technology, MRO and Operations (ISATECH) (ICSC-ISATECH 2019)
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Article Number | 02008 | |
Number of page(s) | 9 | |
Section | International Symposium on Aircraft Technology, MRO and Operations | |
DOI | https://doi.org/10.1051/matecconf/202031402008 | |
Published online | 29 May 2020 |
Perspectives on Health and Usage Monitoring Systems (HUMS) of helicopters
1
Department of Mechanical Engineering, KU Leuven, 3001, Leuven, Belgium
2
Dynamics of Mechanical and Mechatronic Systems, Flanders Make, 3001, Leuven, Belgium
3
London South Bank University, School of Engineering, SE1 0AA, London, UK
4
Defence Science and Technology Organization (DSTO), Air Vehicles Division, Melbourne, VIC 3011, Australia
5
De Montfort University, Faculty of Technology, LE1 9BH, Leicester, UK
* Corresponding author: konstantinos.gyllias@kuleuven.be
Helicopters are extensively used in civil applications as they are versatile in their capabilities to manoeuvre. Their operation under harsh conditions and environments demand for a strict maintenance plan. Main gearboxes (MGB) of helicopters are a critical component responsible for reducing the high input speed generated from the gas turbine engines. Health and Usage Monitoring Systems (HUMS) are installed in an effort to monitor the health state of the transmission systems, and ideally, to detect and diagnose the type of a generated fault. Even though the development of HUMS contributed to the reduction of worldwide helicopter accident rate, more advanced systems are needed based on the investigation of the air accidents of AS332 L2 Super Puma in Scotland in 2009 and of EC225 LP Super Puma in Bergen in 2016, due to failure of a planet gear of the MGB. A plethora of signal processing methodologies have been proposed for the early detection of faults but often they fail in complex structures, such as planetary gearboxes operating under various conditions. In this paper the performance of a recently proposed diagnostic tool, called IESFOgram, is evaluated and compared with state of the art techniques, applied on signal captured on a Category A Super Puma SA330 MGB.
© The Authors, published by EDP Sciences, 2020
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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