DocumentCode
518313
Title
Notice of Retraction
Gear fault detection with Wigner-Viller distribution based cepstrum approach
Author
Pi Jun ; Yan Guo-hua ; Wang Xuan ; Tian Jing ; Yang Yong-gang
Author_Institution
Aeronaut. Mech. Coll., Civil Aviation Univ. of China, Tianjin, China
Volume
1
fYear
2010
fDate
16-18 April 2010
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 gear cases are widely used in aviation engines. The gear cases faults affect somewhat the safety of the engines and aircrafts. Gear faults detection is very important because the majority fault of gearbox is caused by the gears. The time-frequency distribution based cepstrum approach is applied to identify the gear fault in this paper. Both the Wigner-Viller distribution and Fourier transformation spectrum are used to locate the fault. The results show that the Wigner-Viller distribution based cepstrum method that is proposed in the paper is successfully to ascertain the gear fault.
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 gear cases are widely used in aviation engines. The gear cases faults affect somewhat the safety of the engines and aircrafts. Gear faults detection is very important because the majority fault of gearbox is caused by the gears. The time-frequency distribution based cepstrum approach is applied to identify the gear fault in this paper. Both the Wigner-Viller distribution and Fourier transformation spectrum are used to locate the fault. The results show that the Wigner-Viller distribution based cepstrum method that is proposed in the paper is successfully to ascertain the gear fault.
Keywords
Fourier transforms; Wigner distribution; aerospace engines; aircraft maintenance; fault diagnosis; gears; time-frequency analysis; Fourier transformation; Wigner-Viller distribution; aircraft; aviation engine; cepstrum method; gear fault detection; gearbox; time-frequency distribution; Cepstral analysis; Cepstrum; Engines; Fault detection; Fault diagnosis; Fourier transforms; Gears; Signal analysis; Time frequency analysis; Vibrations; Wigner-Viller distribution; cepstrum; gear cases;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5486014
Filename
5486014
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