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Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning

open access: yesИзвестия Иркутского государственного университета: Серия "Математика", 2014
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and
V.G. Kurbatsky   +5 more
doaj  

Feature generation for seismic and acoustic signals based on Hilbert-Huang transform [PDF]

open access: yes, 2017
The successful detection and classification of events require using signal processing algorithms suitable for analysis of nonlinear and nonstationary signals like seismic and acoustic ones.
Berešík, Roman   +2 more
core  

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

open access: yesJournal of Petroleum Exploration and Production Technology, 2023
Xinxin Fang   +7 more
doaj   +1 more source

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