DocumentCode
518373
Title
Notice of Retraction
Study on quantitative diagnosis method of rotor vibration faults based on process information entropy
Author
Wang Jun ; Ai Yanting ; Liu Xiufang ; Sun Xiaoqian
Author_Institution
Sch. of Jet Propulsion, Beihang Univ., Beijing, China
Volume
5
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.
For the complexity of rotor vibration process and the randomcity of vibration fault generated, a fault quantitative diagnosis method which describes the changing rule of rotor vibration by information entropy difference matrix under more measurement points and multi-speed comes up in this paper. First of all, four typical failures of rotor vibration are simulated based on rotor experiment, and vibration fault data under more points and multi-speed are collected. Secondly, the information entropy matrix is calculated through analyzing and processing the data. Finally, the validity of this method to distinguish the rotor fault types and determine the fault severity is proved to be effective by example calculation and analysis of rotor vibration fault signals.
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.
For the complexity of rotor vibration process and the randomcity of vibration fault generated, a fault quantitative diagnosis method which describes the changing rule of rotor vibration by information entropy difference matrix under more measurement points and multi-speed comes up in this paper. First of all, four typical failures of rotor vibration are simulated based on rotor experiment, and vibration fault data under more points and multi-speed are collected. Secondly, the information entropy matrix is calculated through analyzing and processing the data. Finally, the validity of this method to distinguish the rotor fault types and determine the fault severity is proved to be effective by example calculation and analysis of rotor vibration fault signals.
Keywords
condition monitoring; entropy; fault diagnosis; rotors; vibrations; process information entropy difference matrix; quantitative fault diagnosis method; rotors; vibration fault signals; Aerospace engineering; Fault diagnosis; Information analysis; Information entropy; Machinery; Rotors; Signal analysis; Signal processing; Testing; Vibration measurement; Fault diagnosis; Information Fusion; Information entropy; Power spectrum; Rotor vibration;
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.2010.5486099
Filename
5486099
Link To Document