Notice of RetractionFault identification of offshore platform based on the EEMD method

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.