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Hilbert–Huang transform

Known as: Empirical mode decomposition, Hilbert huang transform, Hilbert-Huang Transform 
The Hilbert–Huang transform (HHT) is a way to decompose a signal into so-called intrinsic mode functions (IMF) along with a trend, and obtain… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
In this paper, Hilbert Huang transform (HHT) and weighted bidirectional extreme learning machine (WBELM) are integrated to detect… 
Highly Cited
2017
Highly Cited
2017
This paper focuses on rolling elements bearing fault detection in induction machines based on stator currents analysis… 
Highly Cited
2015
Highly Cited
2015
Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a… 
Highly Cited
2013
Highly Cited
2013
The nonstationary nature of power-quality (PQ) waveforms requires a tool that can accurately analyze and visually identify the… 
Highly Cited
2010
Highly Cited
2010
This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has… 
Highly Cited
2009
Highly Cited
2009
This paper presents a feature extraction technique based on the Hilbert-Huang Transform (HHT) method for emotion recognition from… 
Highly Cited
2009
Highly Cited
2009
This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique to accurately characterize time varying… 
Highly Cited
2006
Highly Cited
2006
This paper presents a signal analysis technique for machine health monitoring based on the Hilbert-Huang Transform (HHT). The HHT… 
Highly Cited
2005
Highly Cited
2005
The Hilbert-Huang transform (HHT) is an empirically based data-analysis method. Its basis of expansion is adaptive, so that it…