Stator short-circuit faults detection based on harmonics of the magnetic field in the induction motors neighboring
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: 2014DOI: 10.1109/InfoSEEE.2014.6946224
Keyword(s): edge detection,face recognition,feature extraction,object detection,Bhattacharyya distance functions,CV AC model,Chan-Vese energy,FER systems,active contour model,automatic face detection,automatic face extraction,energy functions,expression frames,facial expression recognition systems,object dissimilarities,unsupervised technique,Active contours,Face,Face detection,Face recognition,Hidden Markov models,Level set,Robustness,Facial expressions,active contour,face dectecti
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Stator short-circuit faults detection based on harmonics of the magnetic field in the induction motors neighboring
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| contributor author | Fireteanu, V. , Constantin, A.-I. | |
| date accessioned | 2020-03-12T20:27:44Z | |
| date available | 2020-03-12T20:27:44Z | |
| date issued | 2014 | |
| identifier other | 6871936.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1015446 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Stator short-circuit faults detection based on harmonics of the magnetic field in the induction motors neighboring | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8139083 | |
| subject keywords | edge detection | |
| subject keywords | face recognition | |
| subject keywords | feature extraction | |
| subject keywords | object detection | |
| subject keywords | Bhattacharyya distance functions | |
| subject keywords | CV AC model | |
| subject keywords | Chan-Vese energy | |
| subject keywords | FER systems | |
| subject keywords | active contour model | |
| subject keywords | automatic face detection | |
| subject keywords | automatic face extraction | |
| subject keywords | energy functions | |
| subject keywords | expression frames | |
| subject keywords | facial expression recognition systems | |
| subject keywords | object dissimilarities | |
| subject keywords | unsupervised technique | |
| subject keywords | Active contours | |
| subject keywords | Face | |
| subject keywords | Face detection | |
| subject keywords | Face recognition | |
| subject keywords | Hidden Markov models | |
| subject keywords | Level set | |
| subject keywords | Robustness | |
| subject keywords | Facial expressions | |
| subject keywords | active contour | |
| subject keywords | face dectecti | |
| identifier doi | 10.1109/InfoSEEE.2014.6946224 | |
| journal title | ower Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium o | |
| filesize | 1062059 | |
| citations | 0 |