Results 41 to 50 of about 50,188 (187)

Partial discharge feature extraction based on ensemble empirical mode decomposition and sample entropy [PDF]

, 2013
Partial Discharge (PD) pattern recognition plays an important part in electrical equipment fault diagnosis and maintenance. Feature extraction could greatly affect recognition results.
Haikun Shang, Kwok Lo, Feng Li, Gao, Chu, Kong, Richman, Tipping, Shang   +8 more
core   +3 more sources

Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience. [PDF]

, 2015
Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA).
Abbod, MF, Chang, HC, Chiu, YF, Chuang, FL, Fan, SZ, Huang, HH, Jen, KK, Jiang, GJ, Lan, JY, Shieh, JS, Tsai, FF, Wu, JF, Yang, YW   +12 more
core   +4 more sources

The Reduced-Order Hybrid Monte Carlo Sampling Smoother

, 2016
Hybrid Monte-Carlo (HMC) sampling smoother is a fully non-Gaussian four-dimensional data assimilation algorithm that works by directly sampling the posterior distribution formulated in the Bayesian framework.
Attia, Ahmed, Sandu, Adrian, Stefanescu, Razvan   +2 more
core   +1 more source

Online cable fault ranging method by double-end traveling wave for underground distribution network

Gong-kuang zidonghua, 2016
In order to solve problems of block overlap of frequency bands in cable fault ranging method based on empirical mode decomposition and effect of residual white noise in the one based on ensemble empirical mode decomposition, an online cable fault ranging
ZHAO Min, SHANG Penghui
doaj   +1 more source

Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition [PDF]

, 2009
In this paper, a new method is proposed by combining ensemble empirical mode decomposition (EEMD) with order tracking techniques to analyse the vibration signals from a two stage helical gearbox.
Ball, A, Fazenda, BM, Gu, F, Guan, L, Shao, Y   +4 more
core  

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]

, 2013
Copyright @ 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).To assess the ...
Ahmed, Benda, Bernard Jiang, Bray, Chen, Chen, Cheng-Wei Huang, Costa, Costa, Ernst, Freitas, Huang, Jiang, Jiann-Shing Shieh, Lee, Lexell, Maysam Abbod, Morabito, Nakamura, Pajala, Pei-Der Sue, Prieto, Rehman, Rehman, Sardain, Sarkar, Thuraisingham, Weir, Yeh, Zar   +29 more
core   +3 more sources

Turbulence Time Series Data Hole Filling using Karhunen-Loeve and ARIMA methods [PDF]

, 2007
Measurements of optical turbulence time series data using unattended instruments over long time intervals inevitably lead to data drop-outs or degraded signals.
Beran J, C O Font, Chang M P J L, Chang M P J L, Chang M P J L, E Oh, Font C O, Font C O, G C Gilbreath, Goodman J W, H Nazari, M P J L Chang, Mandelbrot B, Santiago F, Sirovich L, Turk M   +15 more
core   +2 more sources

Biometric systems based on ECG using ensemble empirical mode decomposition and Variational Mode decomposition [PDF]

Journal of Applied Engineering Science, 2020
Electrocardiogram (ECG) based biometric is challenging to be developed with the aim of high-security access. This biometric system is more difficult to falsify, compared to the conventional biometric systems. From previous proposed studies, there is still a gap to improve the accuracy of the system.
Sugondo Hadiyoso, Inung Wijayanto, Achmad Rizal, Suci Aulia   +3 more
openaire   +1 more source

Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control

Global Energy Interconnection
To address the impact of wind-power fluctuations on the stability of power systems, we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a system.
Yu Zhang, Yongkang Zhang, Tiezhou Wu
doaj   +1 more source

Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD

Shock and Vibration, 2016
An adaptive stochastic resonance and analytical mode decomposition-ensemble empirical mode decomposition (AMD-EEMD) method is proposed for fault diagnosis of rotating machinery in this paper.
Peiming Shi, Cuijiao Su, Dongying Han
doaj   +1 more source