Fault analysis of wind generator connected power system using wavelet technique
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سال
: 2014شناسه الکترونیک: 10.1109/EMBC.2014.6945083
کلیدواژه(گان): causality,electroencephalography,gait analysis,medical disorders,medical robotics,neurophysiology,patient rehabilitation,plasticity,BCI,EEG data,PGC method,brain regions,brain signals,brain-computer interface,clinical population,directed neural connectivity changes,frontoparietal connection,lateral motor cortical areas,neural substrate,new gait pattern,partial Granger causality analysis,plasticity,power spectral density,robot-assisted gait training,robotic exoskeletons,s
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Fault analysis of wind generator connected power system using wavelet technique
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contributor author | Babu, Y.M. | |
contributor author | Prasad, B.D. | |
contributor author | Vihari, B.V. | |
date accessioned | 2020-03-12T21:03:00Z | |
date available | 2020-03-12T21:03:00Z | |
date issued | 2014 | |
identifier other | 6922375.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1035183 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Fault analysis of wind generator connected power system using wavelet technique | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8161198 | |
subject keywords | causality | |
subject keywords | electroencephalography | |
subject keywords | gait analysis | |
subject keywords | medical disorders | |
subject keywords | medical robotics | |
subject keywords | neurophysiology | |
subject keywords | patient rehabilitation | |
subject keywords | plasticity | |
subject keywords | BCI | |
subject keywords | EEG data | |
subject keywords | PGC method | |
subject keywords | brain regions | |
subject keywords | brain signals | |
subject keywords | brain-computer interface | |
subject keywords | clinical population | |
subject keywords | directed neural connectivity changes | |
subject keywords | frontoparietal connection | |
subject keywords | lateral motor cortical areas | |
subject keywords | neural substrate | |
subject keywords | new gait pattern | |
subject keywords | partial Granger causality analysis | |
subject keywords | plasticity | |
subject keywords | power spectral density | |
subject keywords | robot-assisted gait training | |
subject keywords | robotic exoskeletons | |
subject keywords | s | |
identifier doi | 10.1109/EMBC.2014.6945083 | |
journal title | reen Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on | |
filesize | 4791058 | |
citations | 0 |