Results 41 to 50 of about 49,831 (187)

Bolt Detection Signal Analysis Method Based on ICEEMD

, 2018
The construction quality of the bolt is directly related to the safety of the project, and as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal ...
Guo, Chunhui, Xie, Xin, Yang, Zhengyu, Zhang, Zhan   +3 more
core   +2 more sources

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

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  

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

Ensemble empirical mode decomposition applied for PPG motion artifact

2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2016
This study evaluates the performance of the ensemble empirical mode decomposition (EEMD) filtering applied to the vertical movement motion artifact (MA). The evaluation of the filtering algorithm is investigated by the heart rate (HR) frequency assessment calculated by the fast Fourier transform (FFT), the intrinsic mode function (IMF) selection ...
Muammar Sadrawi, Jiann-Shing Shieh, Koichi Haraikawa, Jen Chien Chien, Chien Hung Lin, Maysam F. Abbod   +5 more
openaire   +3 more sources

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

How Predictable are Temperature-series Undergoing Noise-controlled Dynamics in the Mediterranean [PDF]

, 2011
Mediterranean is thought to be sensitive to global climate change, but its future interdecadal variability is uncertain for many climate models. A study was made of the variability of the winter temperature over the Mediterranean Sub-regional Area (MSA),
Gianni Bellocchi, Nazzareno Diodato
core   +3 more sources

Enhanced hybrid CEEMDAN-GMDH regression model for forewarning sucking pests in cotton crops of Coimbatore, Tamil Nadu

Journal of Agrometeorology
Effective pest management relies on early and accurate forecasting, yet current models struggle to capture regional specific complex relationship between weather conditions and pest incidence.
N. NARANAMMAL, S. R. KRISHNA PRIYA, NAVEENA. K.   +2 more
doaj   +1 more source