DocumentCode
518608
Title
Notice of Retraction
Fault identification of offshore platform based on the EEMD method
Author
Jinshan Lin ; Chunhong Dou ; Rujian Ma
Author_Institution
Sch. of Mech. & Electron. Eng., Weifang Univ., Weifang, China
Volume
2
fYear
2010
fDate
27-29 March 2010
Firstpage
400
Lastpage
403
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.
Conventional techniques are unfit for processing the non-stationary and nonlinear signal, whereas the empirical mode decomposition (EMD) is a powerful tool for the non-stationary and nonlinear signal analysis and has aroused wide concern recently. However, one principal shortcoming occurring in the EMD is the mode mixing, which makes the physical meaning of the decomposition results obscure. The ensemble empirical mode decomposition (EEMD) is proposed to improve the decomposition results from the EMD method. Firstly, a simulation signal is employed to test the performance of the EEMD method, which demonstrates the superiority over the EMD method. Next, the EEMD method is applied to analyze the signal captured from the deck of the WZ12-1 platform and successfully reveals the reason causing the excessive vibration of the WZ12-1 platform. The results indicate that the EEMD is a hopeful method for the fault identification of the offshore platform.
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.
Conventional techniques are unfit for processing the non-stationary and nonlinear signal, whereas the empirical mode decomposition (EMD) is a powerful tool for the non-stationary and nonlinear signal analysis and has aroused wide concern recently. However, one principal shortcoming occurring in the EMD is the mode mixing, which makes the physical meaning of the decomposition results obscure. The ensemble empirical mode decomposition (EEMD) is proposed to improve the decomposition results from the EMD method. Firstly, a simulation signal is employed to test the performance of the EEMD method, which demonstrates the superiority over the EMD method. Next, the EEMD method is applied to analyze the signal captured from the deck of the WZ12-1 platform and successfully reveals the reason causing the excessive vibration of the WZ12-1 platform. The results indicate that the EEMD is a hopeful method for the fault identification of the offshore platform.
Keywords
condition monitoring; offshore installations; structural engineering; vibrations; EEMD method; ensemble empirical mode decomposition; fault identification; offshore platform; vibration signal; Fault diagnosis; Fourier transforms; Hilbert space; Power engineering and energy; Signal analysis; Signal processing; Testing; Time frequency analysis; Vibrations; White noise; EEMD; Hilbert spectrum; Offshore platform; fault identification;
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.2010.5486646
Filename
5486646
Link To Document