Adaptive Combined Noise Reduction For Helicopter Tail Transmission System

Heping Wang; Jiayao Wang; Dongkai Shen

doi:10.1049/icp.2022.1865

Adaptive Combined Noise Reduction For Helicopter Tail Transmission System

Heping Wang
, Jiayao Wang^*
, Dongkai Shen

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	1328-1333
Number of pages	6
Volume	2022
Edition	7
ISBN (Electronic)	9781839537769
DOIs	https://doi.org/10.1049/icp.2022.1865
State	Published - 2022
Event	2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022 - Nanchang, China Duration: 17 Aug 2022 → 20 Aug 2022

Conference

Conference	2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022
Country/Territory	China
City	Nanchang
Period	17/08/22 → 20/08/22

Keywords

INDEPENDENT COMPONENT CORRELATION ALGORITHM
NOISE REDUCTI ON
SINGULAR VALUE DECOMPOSITION
VARIATIONAL MODALD ECOMPOSITION
VIBRATION SIGNAL

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10.1049/icp.2022.1865

Cite this

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title = "Adaptive Combined Noise Reduction For Helicopter Tail Transmission System",

abstract = "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.",

keywords = "INDEPENDENT COMPONENT CORRELATION ALGORITHM, NOISE REDUCTI ON, SINGULAR VALUE DECOMPOSITION, VARIATIONAL MODALD ECOMPOSITION, VIBRATION SIGNAL",

author = "Heping Wang and Jiayao Wang and Dongkai Shen",

note = "Publisher Copyright: {\textcopyright} 2022 IET Conference Proceedings. All rights reserved.; 2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022 ; Conference date: 17-08-2022 Through 20-08-2022",

year = "2022",

doi = "10.1049/icp.2022.1865",

language = "英语",

volume = "2022",

pages = "1328--1333",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "英国",

edition = "7",

}

TY - GEN

T1 - Adaptive Combined Noise Reduction For Helicopter Tail Transmission System

AU - Wang, Heping

AU - Wang, Jiayao

AU - Shen, Dongkai

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - INDEPENDENT COMPONENT CORRELATION ALGORITHM

KW - NOISE REDUCTI ON

KW - SINGULAR VALUE DECOMPOSITION

KW - VARIATIONAL MODALD ECOMPOSITION

KW - VIBRATION SIGNAL

UR - https://www.scopus.com/pages/publications/85174648825

U2 - 10.1049/icp.2022.1865

DO - 10.1049/icp.2022.1865

M3 - 会议稿件

AN - SCOPUS:85174648825

VL - 2022

SP - 1328

EP - 1333

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 2022 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2022

Y2 - 17 August 2022 through 20 August 2022

ER -

Adaptive Combined Noise Reduction For Helicopter Tail Transmission System

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Keywords

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