Results 81 to 90 of about 4,786,449 (207)
Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
core +1 more source
A Minimum Arclength Method for Removing Spikes in Empirical Mode Decomposition
Empirical mode decomposition (EMD) is an extensively utilized tool in a time-frequency analysis. However, disturbances, such as impulse noise, can result in a mode-splitting effect, in which one physically meaningful component is split into two or more ...
Hui-Wen Yang +6 more
doaj +1 more source
Output-Only Modal Analysis Based on Improved Empirical Mode Decomposition Method
The output-only modal analysis for bridge structures based on improved empirical mode decomposition (EMD) is investigated in this study. First, a bandwidth restricted EMD is proposed for decomposing nonstationary output measurements with close frequency ...
Shiqiang Qin, Qiuping Wang, Juntao Kang
doaj +1 more source
Crude oil is a raw and natural, but nonrenewable, resource. It is one of the world’s most important commodities, and its price can have ripple effects throughout the broader economy.
Linya Huang +4 more
doaj +1 more source
A comparative analysis of EMD based filtering methods for 50Â Hz noise cancellation in ECG signal
Electrocardiogram (ECG) is the procedural electrical activity recording of the heart that arises from the heart muscle's electrophysiological pattern.
M. Suchetha +3 more
doaj +1 more source
This paper mainly forecasts the daily closing price of stock markets. We propose a two-stage technique that combines the empirical mode decomposition (EMD) with nonparametric methods of local linear quantile (LLQ). We use the proposed technique, EMD-LLQ,
Abobaker M. Jaber +2 more
doaj +1 more source
Signal prediction based on empirical mode decomposition and artificial neural networks
In view of the usefulness of Empirical Mode Decomposition (EMD), Artificial Neural Networks (ANN), and Most Relevant Matching Extension (MRME) methods in dealing with nonlinear signals, we propose a new way of combining these methods to deal with signal ...
Wang Yong, Liu Yanping, Yang Jing
doaj +1 more source
Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
The Empirical Mode Decomposition (EMD),as an empirical method,lacks rigorous theoretical proof. For this reason,EMD in practical application is confronted by many problems,which make EMD hard to extract fault features from vibration data of complex wind ...
Lin Jinshan +3 more
doaj
Abstracts submitted to the ‘EACR 2026 Congress: Innovative Cancer Science’, from 08–11 June 2026 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley +1 more source
Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition
This paper investigated dynamical interactions between pile and frozen ground by using the ensemble empirical mode decomposition (EEMD) method. Unlike the conventional empirical mode decomposition (EMD) method, EEMD is found to be able to separate the ...
Feng Xiao +3 more
doaj +1 more source

