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A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal

contributor authorWang Wei
contributor authorJia Min
contributor authorGuo Qing
date accessioned2020-03-12T22:33:57Z
date available2020-03-12T22:33:57Z
date issued2014
identifier other7014878.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1087216?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal
typeConference Paper
contenttypeMetadata Only
identifier padid8225016
subject keywordsfault diagnosis
subject keywordsn machine bearings
subject keywordsn machine insulation
subject keywordsn squirrel cage motors
subject keywordsn stators
subject keywordsn air gap function
subject keywordsn fault diagnosis
subject keywordsn faulty motor
subject keywordsn frequency components
subject keywordsn oil whirl fault
subject keywordsn sleeve bearing fault
subject keywordsn squirrel cage induction motors
subject keywordsn stator line current
subject keywordsn winding function approach
subject keywordsn Induction motors
subject keywordsn Mathematical model
subject keywordsn Rotors
subject keywordsn Shafts
subject keywordsn Stator windings
subject keywordsn Vibrations
subject keywordsn Induction motor
subject keywordsn Modeling and simulation
subject keywordsn Oil whirl f
identifier doi10.1109/ICIT.2014.6894931
journal titleireless Personal Multimedia Communications (WPMC), 2014 International Symposium on
filesize322850
citations0


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