Wang, Boxiang und Misol, Malte und Luo, Zhengding und Ji, Junwei und Shen, Xiaoyi und Shi, Dongyuan und Gan, Woon-Seng (2025) DEEP LEARNING-BASED ACTIVE TRIM PANELS FOR ENHANCED AIRCRAFT INTERIOR NOISE CONTROL. In: Proceedings of the 31st International Congress on Sound and Vibration. The Korean Society for Noise and Vibration Engineering. 31st International Congress on Sound and Vibration, 2025-07-06 - 2025-07-11, Incheon, Korea. ISBN 978-89-94-02142-3. ISSN 2329-3675.
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Offizielle URL: https://iiav.org/content/archives_icsv_last/2025_icsv31/index.html
Kurzfassung
Active noise control (ANC) trim panels offer an effective solution to suppress multi-tonal noise in aircraft. The selective fixed-filter ANC (SFANC) method, characterized by low computational complexity, high robustness and rapid response, is suitable to handle multi-tonal engine noise that varies in frequency due to changes in the rotational speed of the engine shaft. However, real-world conditions introduce variations in lining temperature, altering acoustic and structural paths and degrading noise reduction performance. To address this challenge, a temperature-perceptive SFANC (TP-SFANC) approach is proposed that employs a lightweight one-dimensional convolutional neural network (1D CNN) trained using a multi-task learning strategy. By processing both reference and error signals, the 1D CNN learns frequency and temperature characteristics to dynamically select the optimal control filter. Numerical simulations demonstrate the effectiveness of the proposed method in attenuating multi-tonal noise across varying frequencies and lining temperatures.
elib-URL des Eintrags: | https://elib.dlr.de/215696/ | ||||||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||||||
Titel: | DEEP LEARNING-BASED ACTIVE TRIM PANELS FOR ENHANCED AIRCRAFT INTERIOR NOISE CONTROL | ||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | Juli 2025 | ||||||||||||||||||||||||||||||||
Erschienen in: | Proceedings of the 31st International Congress on Sound and Vibration | ||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||||||
Herausgeber: |
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Verlag: | The Korean Society for Noise and Vibration Engineering | ||||||||||||||||||||||||||||||||
ISSN: | 2329-3675 | ||||||||||||||||||||||||||||||||
ISBN: | 978-89-94-02142-3 | ||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||
Stichwörter: | active noise control, convolutional neural network, multi-task learning, aircraft | ||||||||||||||||||||||||||||||||
Veranstaltungstitel: | 31st International Congress on Sound and Vibration | ||||||||||||||||||||||||||||||||
Veranstaltungsort: | Incheon, Korea | ||||||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 6 Juli 2025 | ||||||||||||||||||||||||||||||||
Veranstaltungsende: | 11 Juli 2025 | ||||||||||||||||||||||||||||||||
Veranstalter : | International Institute of Acoustics and Vibration (IIAV) | ||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||||||||||
HGF - Programmthema: | Komponenten und Systeme | ||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | L CS - Komponenten und Systeme | ||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Wartung und Kabine, L - Digitale Technologien | ||||||||||||||||||||||||||||||||
Standort: | Braunschweig | ||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Systemleichtbau > Adaptronik | ||||||||||||||||||||||||||||||||
Hinterlegt von: | Misol, Dr. Malte | ||||||||||||||||||||||||||||||||
Hinterlegt am: | 11 Aug 2025 08:07 | ||||||||||||||||||||||||||||||||
Letzte Änderung: | 11 Aug 2025 08:07 |
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