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Adaptive Combined Noise Reduction For Helicopter Tail Transmission System

  • Heping Wang
  • , Jiayao Wang*
  • , Dongkai Shen
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Weak vibration signal processing has always been a research hotspot. This is critical for both signal extraction and troubleshooting. Aiming at the weakness of the early fault of the helicopter tail transmission system and the aliasing of the vibration signal, this paper performs joint noise reduction filtering on the vibration signal and extracts the early failure signal from the strong noise scene. A method of extracting early failure signal based on ICA is proposed, combined with VMD+SVD noise reduction to extract weak vibration signals of transmission system. The results show that the MSE and SNR indicators after using Adaptive Combined Noise Reduction are better than the general noise reduction method, and the initial signal is also retained while filtering the noise.

源语言英语
主期刊名IET Conference Proceedings
出版商Institution of Engineering and Technology
1328-1333
页数6
2022
版本7
ISBN(电子版)9781839537769
DOI
出版状态已出版 - 2022
活动2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022 - Nanchang, 中国
期限: 17 8月 202220 8月 2022

会议

会议2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022
国家/地区中国
Nanchang
时期17/08/2220/08/22

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