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
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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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Review of noise removal techniques in ECG signals
Shubhojeet Chatterjee,Rini Smita Thakur,Ram Narayan Yadav,Lalita Gupta,Deepak Kumar Raghuvanshi +4 more
TL;DR: It is observed that Wavelet-VBE, EMD-MAF, GAN2, GSSSA, new MP-EKF, DLSR, and AKF are most suitable for additive white Gaussian noise removal and GAN1 is the best denoising option for composite noise removal.
Journal ArticleDOI
Acoustic emission pattern recognition approach based on Hilbert–Huang transform for structural health monitoring in polymer-composite materials
TL;DR: The Hilbert–Huang transform is used for the extraction of new relevant damage descriptor to be adopted for Acoustic Emission (AE) pattern recognition in order to help understanding the damage process.
Journal ArticleDOI
Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction
Wei Fan,Gaigai Cai,Gaigai Cai,Zhongkui Zhu,Zhongkui Zhu,Changqing Shen,Weiguo Huang,Li Shang +7 more
TL;DR: In this article, a new transient feature extraction technique is proposed for gearbox fault diagnosis based on sparse representation in wavelet basis, which can extract both the impulse time and the period of transients.
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A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions
TL;DR: In this paper, a simplified nonlinear gear model is developed, on which the time-frequency analysis method is first applied for the easiest understanding of the challenges faced, and the effect of varying loads is examined in the simulations and later on in real wind turbine gearbox experimental data.
Journal ArticleDOI
Analytical basics of the EMD: Two harmonics decomposition
TL;DR: In this article, the authors theoretically explain how the empirical mode decomposition (EMD) operates for harmonic functions and why it selects out the highest frequency oscillation, leaving the lower frequency oscillations in the signal.
References
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