Detection and Estimation of Helicopters Vibrations by Adaptive Notch Filters
Autor: | Marc Salesse, Nacer K. M'Sirdi, Antoine Monneau, Jean Sequeira, Sébastien Mavromatis, Guillaume Varra |
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Přispěvatelé: | Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Airbus Helicopters, Aeroport International de Marseille-Provence |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Vibration detection
Computer science Acoustics Track (disk drive) [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] Band-stop filter [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] Flight test [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Aerospace Systems Vibration Adaptive filter Narrow band Amplitude [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Adaptive Notch Filters Adaptive Spectral Analysis |
Zdroj: | 17th International Conference on Informatics in Control, Automation and Robotics 17th International Conference on Informatics in Control, Automation and Robotics, Jul 2020, Online Streaming, France. ⟨10.5220/0009910302010207⟩ ICINCO |
DOI: | 10.5220/0009910302010207⟩ |
Popis: | International audience; This paper addresses online vibration detection in helicopters using Adaptive Filters. Adaptive Notch Filters (ANF) are used to estimate and track the time varying frequencies of the vibrations. We estimate and track the amplitudes and phases of time varying frequencies of the vibrations. This allows the detection of abnormal oscillations in the helicopter flight to keep control of the aircraft. In the application presented, we show the detection of severe vibrations that occurred during a helicopter flight test. This proves the effectiveness of proposed ANF to track and reject narrow band perturbations. |
Databáze: | OpenAIRE |
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