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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Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
TL;DR: Simulation results show that the proposed method provides a better solution to the class imbalance problem in heartbeat classification.
Journal ArticleDOI
Brain computer interface control via functional connectivity dynamics
TL;DR: The dynamics of inter-regional communication within the brain during cognitive processing - referred to as functional connectivity - are investigated as a control feature for a brain computer interface demonstrating that functional connectivity dynamics provide additional information and improved BCI control accuracies.
Journal ArticleDOI
EMD-based fault diagnosis for abnormal clearance between contacting components in a diesel engine
TL;DR: In this paper, a vibration-based fault diagnostic method is developed to identify the vital components of a diesel engine that have abnormal clearance by inspecting the timing of impacts created by the components that had abnormal clearance during operation.
Journal ArticleDOI
An optimized time varying filtering based empirical mode decomposition method with grey wolf optimizer for machinery fault diagnosis
TL;DR: Simulations and comparisons highlight the performance of TVF-EMD method for signal decomposition, and meanwhile verify the fact that bandwidth threshold and B-spline order are critical to the decomposition results.
References
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TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
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Ensemble empirical mode decomposition: a noise-assisted data analysis method
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