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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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Related topics
Related topics
18 relations
Adaptive algorithm
Electromagnetic environment
Fast Fourier transform
Fourier analysis
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine
M. Sahani
,
P. Dash
IEEE Transactions on Industrial Informatics
2018
Corpus ID: 52158651
In this paper, Hilbert Huang transform (HHT) and weighted bidirectional extreme learning machine (WBELM) are integrated to detect…
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Highly Cited
2017
Highly Cited
2017
An Efficient Hilbert–Huang Transform-Based Bearing Faults Detection in Induction Machines
E. Elbouchikhi
,
V. Choqueuse
,
Y. Amirat
,
M. Benbouzid
,
S. Turri
IEEE transactions on energy conversion
2017
Corpus ID: 19421998
This paper focuses on rolling elements bearing fault detection in induction machines based on stator currents analysis…
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Highly Cited
2015
Highly Cited
2015
Characterization of non-linear bearings using the Hilbert–Huang transform
Arturo González
,
Hussein Aied
2015
Corpus ID: 54850117
Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a…
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Highly Cited
2013
Highly Cited
2013
Analysis of Nonstationary Power-Quality Waveforms Using Iterative Hilbert Huang Transform and SAX Algorithm
M. J. Afroni
,
Danny Sutanto
,
David Stirling
IEEE Transactions on Power Delivery
2013
Corpus ID: 22149461
The nonstationary nature of power-quality (PQ) waveforms requires a tool that can accurately analyze and visually identify the…
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Highly Cited
2010
Highly Cited
2010
Fault detection by means of Hilbert Huang Transform of the stator current in a PMSM with demagnetization
A. Espinosa
,
J. Rosero
,
J. Cusidó
,
L. Romeral
,
J. Ortega
IEEE International Symposium on Intelligent…
2010
Corpus ID: 8316609
This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has…
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Highly Cited
2009
Highly Cited
2009
Hilbert-Huang transform based physiological signals analysis for emotion recognition
Cong Zong
,
M. Chetouani
IEEE International Symposium on Signal Processing…
2009
Corpus ID: 17193230
This paper presents a feature extraction technique based on the Hilbert-Huang Transform (HHT) method for emotion recognition from…
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Highly Cited
2009
Highly Cited
2009
A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring
D. S. Laila
,
A. R. Messina
,
B. Pal
IEEE Transactions on Power Systems
2009
Corpus ID: 27669988
This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique to accurately characterize time varying…
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Highly Cited
2006
Highly Cited
2006
Hilbert–Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring
Ruqiang Yan
,
R. Gao
IEEE Transactions on Instrumentation and…
2006
Corpus ID: 15290525
This paper presents a signal analysis technique for machine health monitoring based on the Hilbert-Huang Transform (HHT). The HHT…
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Highly Cited
2005
Highly Cited
2005
INTRODUCTION TO THE HILBERT–HUANG TRANSFORM AND ITS RELATED MATHEMATICAL PROBLEMS
N. Huang
2005
Corpus ID: 124029902
The Hilbert-Huang transform (HHT) is an empirically based data-analysis method. Its basis of expansion is adaptive, so that it…
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Highly Cited
2005
Highly Cited
2005
An improved Hilbert–Huang transform and its application in vibration signal analysis
Zhike Peng
,
P. Tse
,
F. Chu
2005
Corpus ID: 53585222
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