DocumentCode :
2675571
Title :
Notice of Retraction
Application of wavelet to gearbox vibration signals for fault detection
Author :
Yanping Cai ; Yanping He ; Aihua Li ; Jinru Zhao ; Tao Wang
Author_Institution :
Xi´an High-Tech Inst., Xi´an, China
Volume :
4
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
441
Lastpage :
444
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The method of de-noising by wavelet transformation and the basic theory of wavelet transformation based on threshold de-noising are introduced in this paper, the characteristics of noise under the wavelet decomposition are discussed, and the gear fault diagnosis of a gearbox is studied through the wavelet analysis. Experiment result demonstrates that this method can remove the strong noise and extract the pulse feature of fault signal effectively. The method is effective and feasible via the practical application.
Keywords :
acoustic signal processing; fault diagnosis; gears; maintenance engineering; signal denoising; vibrations; wavelet transforms; de-noising method; fault detection; gear fault diagnosis; gearbox vibration signals; threshold de-noising; wavelet analysis; wavelet decomposition; wavelet transformation; Fault detection; Fault diagnosis; Gaussian noise; Gears; Noise reduction; Signal analysis; Signal detection; Wavelet analysis; Wavelet coefficients; White noise; De-noising; Gearbox; Vibration signals; Wavelet transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5486917
Filename :
5486917
Link To Document :
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