Results 41 to 50 of about 5,089 (226)

Analysis of partial discharge signal using the Hilbert-Huang Transform [PDF]

open access: yes, 2006
The development of time-frequency and time-scale transforms has progressed rapidly over the last 20 years. The development and progression of numerical acquisition enable the utilization of these mathematical tools to analyze partial discharge in ...
Russo, Onofrio L.   +6 more
core   +1 more source

Drilling-vibration response characteristics of rocks based on Hilbert–Huang transform

open access: yesJournal of Petroleum Exploration and Production Technology, 2023
Currently, there are no in-situ methods to quantify drilling-vibration response characteristics of different lithologies. Here, we quantified the vibration responses of four lithologies (limestone, sandstone, coal, and mudstone) using a combination of ...
Xinxin Fang   +7 more
doaj   +1 more source

THE APPLICATION OF HILBERT–HUANG TRANSFORMS TO METEOROLOGICAL DATASETS [PDF]

open access: yesJournal of Atmospheric and Oceanic Technology, 2004
Recently a new spectral technique as been developed for the analysis of aperiodic and nonlinear signals - the Hilbert-Huang transform. This paper shows how these transforms can be used to discover synoptic and climatic features: For sea level data, the transforms capture the oceanic tides as well as large, aperiodic river outflows. In the case of solar
openaire   +1 more source

Application of the Hilbert-Huang transform to the search for gravitational waves [PDF]

open access: yesPhysical Review D, 2007
We present the application of a novel method of time-series analysis, the Hilbert-Huang Transform, to the search for gravitational waves. This algorithm is adaptive and does not impose a basis set on the data, and thus the time-frequency decomposition it provides is not limited by time-frequency uncertainty spreading. Because of its high time-frequency
Camp, Jordan B.   +2 more
openaire   +2 more sources

Gear Fault Detection Based on Teager-Huang Transform

open access: yesInternational Journal of Rotating Machinery, 2010
Gear fault detection based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. This novel method is named as Teager-Huang transform (THT).
Hui Li, Haiqi Zheng, Liwei Tang
doaj   +1 more source

Nonlinear analysis of the electroencephalogram in depth of anesthesia

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2015
Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique.
Oscar Leonardo Mosquera-Dusan   +3 more
doaj   +1 more source

Hilbert–Huang Transform Analysis of Quasiperiodic Oscillations in MAXI J1820+070

open access: yesThe Astrophysical Journal, 2023
We present a time-frequency analysis, based on the Hilbert–Huang transform, of the evolution of the low-frequency quasiperiodic oscillations observed in the black hole X-ray binary MAXI J1820+070.
Wei Yu   +16 more
doaj   +1 more source

Pulse Signal Analysis Method Based on Improved HHT [PDF]

open access: yesJisuanji gongcheng, 2019
The traditional Hilbert-Huang Transform(HHT) has low accuracy in Empirical Mode Decomposition(EMD) when processing pulse signals,and there are mode mixing problems.In response to this problem,this paper proposes an improved HHT method.Combined with Time ...
KUANG Xue, LI Zhi, WANG Yongjun, ZHANG Shaorong
doaj   +1 more source

Milling gate vibrations analysis via Hilbert-Huang transform

open access: yesITM Web of Conferences, 2017
The study aimed at identification of the milling gate modal parameters: natural frequencies and mode shapes, in order to establish the working range free from resonant areas.
Litak Grzegorz   +2 more
doaj   +1 more source

On the Hilbert-Huang Transform Theoretical Developments [PDF]

open access: yes, 2005
One of the main heritage tools used in scientific and engineering data spectrum analysis is the Fourier Integral Transform and its high performance digital equivalent - the Fast Fourier Transform (FFT).
Hestnes, P.   +11 more
core   +2 more sources

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