Reducer vibration de-noising signal research based on wavelet transform

Guangbin Yu; Long Huang; Bing Dai; Xuemei Wu; Wensheng Ma

doi:10.4028/www.scientific.net/AMM.274.225

Reducer vibration de-noising signal research based on wavelet transform

Guangbin Yu^*
, Long Huang
, Bing Dai
, Xuemei Wu
, Wensheng Ma

^*Corresponding author for this work

School of Mechatronics Engineering

Harbin University of Science and Technology
Harbin Institute of Technology

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

1 Scopus citations

Abstract

Wavelet de-nosing method for complex signal is put forward in this paper. The time resolution and frequency resolution are changed as wavelet transform for signal analysis. It uses high-frequency resolution and low time resolution in low frequency analysis, and uses low-frequency resolution and high time resolution in high frequency analysis. So it fit the uncertainty principle and realize the signal time domain and in frequency domain at the same time.

Original language	English
Title of host publication	Mechanical Engineering, Materials Science and Civil Engineering
Pages	225-228
Number of pages	4
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.274.225
State	Published - 2013
Event	2012 International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2012 - Harbin, China Duration: 18 Aug 2012 → 20 Aug 2012

Publication series

Name	Applied Mechanics and Materials
Volume	274
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2012 International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2012
Country/Territory	China
City	Harbin
Period	18/08/12 → 20/08/12

Keywords

De-noising
Fault diagnosis;
Signals
Wavelet transform

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10.4028/www.scientific.net/AMM.274.225

Cite this

@inproceedings{820805eb093845ad814d10f880331339,

title = "Reducer vibration de-noising signal research based on wavelet transform",

abstract = "Wavelet de-nosing method for complex signal is put forward in this paper. The time resolution and frequency resolution are changed as wavelet transform for signal analysis. It uses high-frequency resolution and low time resolution in low frequency analysis, and uses low-frequency resolution and high time resolution in high frequency analysis. So it fit the uncertainty principle and realize the signal time domain and in frequency domain at the same time.",

keywords = "De-noising, Fault diagnosis;, Signals, Wavelet transform",

author = "Guangbin Yu and Long Huang and Bing Dai and Xuemei Wu and Wensheng Ma",

year = "2013",

doi = "10.4028/www.scientific.net/AMM.274.225",

language = "英语",

isbn = "9783037855904",

series = "Applied Mechanics and Materials",

pages = "225--228",

booktitle = "Mechanical Engineering, Materials Science and Civil Engineering",

note = "2012 International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2012 ; Conference date: 18-08-2012 Through 20-08-2012",

}

Yu, G, Huang, L, Dai, B, Wu, X & Ma, W 2013, Reducer vibration de-noising signal research based on wavelet transform. in Mechanical Engineering, Materials Science and Civil Engineering. Applied Mechanics and Materials, vol. 274, pp. 225-228, 2012 International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2012, Harbin, China, 18/08/12. https://doi.org/10.4028/www.scientific.net/AMM.274.225

TY - GEN

T1 - Reducer vibration de-noising signal research based on wavelet transform

AU - Yu, Guangbin

AU - Huang, Long

AU - Dai, Bing

AU - Wu, Xuemei

AU - Ma, Wensheng

PY - 2013

Y1 - 2013

N2 - Wavelet de-nosing method for complex signal is put forward in this paper. The time resolution and frequency resolution are changed as wavelet transform for signal analysis. It uses high-frequency resolution and low time resolution in low frequency analysis, and uses low-frequency resolution and high time resolution in high frequency analysis. So it fit the uncertainty principle and realize the signal time domain and in frequency domain at the same time.

AB - Wavelet de-nosing method for complex signal is put forward in this paper. The time resolution and frequency resolution are changed as wavelet transform for signal analysis. It uses high-frequency resolution and low time resolution in low frequency analysis, and uses low-frequency resolution and high time resolution in high frequency analysis. So it fit the uncertainty principle and realize the signal time domain and in frequency domain at the same time.

KW - De-noising

KW - Fault diagnosis;

KW - Signals

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/84873804988

U2 - 10.4028/www.scientific.net/AMM.274.225

DO - 10.4028/www.scientific.net/AMM.274.225

M3 - 会议稿件

AN - SCOPUS:84873804988

SN - 9783037855904

T3 - Applied Mechanics and Materials

SP - 225

EP - 228

BT - Mechanical Engineering, Materials Science and Civil Engineering

T2 - 2012 International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2012

Y2 - 18 August 2012 through 20 August 2012

ER -

Reducer vibration de-noising signal research based on wavelet transform

Abstract

Publication series

Conference

Keywords

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