A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal
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Year
: 2014DOI: 10.1109/ICIT.2014.6894931
Keyword(s): fault diagnosis,n machine bearings,n machine insulation,n squirrel cage motors,n stators,n air gap function,n fault diagnosis,n faulty motor,n frequency components,n oil whirl fault,n sleeve bearing fault,n squirrel cage induction motors,n stator line current,n winding function approach,n Induction motors,n Mathematical model,n Rotors,n Shafts,n Stator windings,n Vibrations,n Induction motor,n Modeling and simulation,n Oil whirl f
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A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal
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| contributor author | Wang Wei | |
| contributor author | Jia Min | |
| contributor author | Guo Qing | |
| date accessioned | 2020-03-12T22:33:57Z | |
| date available | 2020-03-12T22:33:57Z | |
| date issued | 2014 | |
| identifier other | 7014878.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1087216 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8225016 | |
| subject keywords | fault diagnosis | |
| subject keywords | n machine bearings | |
| subject keywords | n machine insulation | |
| subject keywords | n squirrel cage motors | |
| subject keywords | n stators | |
| subject keywords | n air gap function | |
| subject keywords | n fault diagnosis | |
| subject keywords | n faulty motor | |
| subject keywords | n frequency components | |
| subject keywords | n oil whirl fault | |
| subject keywords | n sleeve bearing fault | |
| subject keywords | n squirrel cage induction motors | |
| subject keywords | n stator line current | |
| subject keywords | n winding function approach | |
| subject keywords | n Induction motors | |
| subject keywords | n Mathematical model | |
| subject keywords | n Rotors | |
| subject keywords | n Shafts | |
| subject keywords | n Stator windings | |
| subject keywords | n Vibrations | |
| subject keywords | n Induction motor | |
| subject keywords | n Modeling and simulation | |
| subject keywords | n Oil whirl f | |
| identifier doi | 10.1109/ICIT.2014.6894931 | |
| journal title | ireless Personal Multimedia Communications (WPMC), 2014 International Symposium on | |
| filesize | 322850 | |
| citations | 0 |