Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
TLDR
In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.Abstract:
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...read more
Citations
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Journal ArticleDOI
An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO
Hongbo Xu,Guohua Chen +1 more
TL;DR: The method adopts a modified PSO algorithm to optimize the parameters of LSSVM, and then the optimized model could be established to identify the different fault patterns of rolling bearings to enhance identification accuracy and convergence rate.
Proceedings ArticleDOI
Through wall radar imaging using UWB noise waveforms
TL;DR: The results indicate that noise radar technology combined with modern signal processing approaches is indeed a viable technique for covert high-resolution imaging of obscured stationary and moving targets.
The Effect of Surface Waves on the Performance Characteristics of a Model Tidal Turbine
TL;DR: In this article, scale model tests were conducted on a three bladed horizontal axis tidal turbine in a large tow tank facility at the United States Naval Academy, and performance characteristics were presented for a turbine towed at a constant carriage speed for cases with and without surface waves.
Journal ArticleDOI
Seasonal-to-Interannual Variability of Ethiopia/Horn of Africa Monsoon. Part I: Associations of Wavelet-Filtered Large-Scale Atmospheric Circulation and Global Sea Surface Temperature
TL;DR: In this article, the authors investigated the linkages between June-September Horn of Africa (especially Ethiopian) rainfall and regional atmospheric circulation and global sea surface temperature (SST) variations on several key time scales.
Journal ArticleDOI
Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings.
TL;DR: A hybrid system named as HGSA-ELM for fault diagnosis of rolling element bearings, in which real-valued gravitational search algorithm is employed to optimize the input weights and bias of ELM, and the binary-valued of GSA (BGSA) is used to select important features from a compound feature set.
References
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Ensemble empirical mode decomposition: a noise-assisted data analysis method
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