Fault Identification of Offshore Platform Based on the EEMD Method

摘要：

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. Nest, 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 WZI2-1 platform. The results indicate that the EEMD is a hopeful method for the fault identification of the offshore platform.

关键词： Offshore platform EEMD Hilbert spectrum fault identification

作者: Jinshan Lin Chunhong Dou Rujian Ma

作者单位: School of Mechanical and Electronic Engineering Weifang University Weifang, P.R.China School of Control Science and Engineering University of Jinan Jinan, P.R.China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 400-403

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）