000 | a | ||
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999 |
_c10517 _d10517 |
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003 | OSt | ||
005 | 20191211100449.0 | ||
008 | 191211b xxu||||| |||| 00| 0 eng d | ||
040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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100 |
_97729 _asheokand, kalpana |
||
245 | _aReview On Various Faults And Fault Diagnosis Of Induction Motor | ||
250 | _aVol.8(2), May-Aug | ||
260 |
_aNoida _bSTM Journals _c2018 |
||
300 | _a43-50p. | ||
520 | _aCurrently the utilization of Conditioning Monitoring of electrical automatic machines are expanding because of its capability to lessen working costs, upgrade the reliable quality of activity and enhance administration to clients. Distinctive contrasting options to identify and analyze faults in induction machines have been proposed and actualized in the most recent years. In this paper various strategies to analyze faults looked into over recent years are evaluated and this report endeavors to introduce a brief appraisal of the researches finished just about fault detection performing for Induction Motors and to distinguish different such conclusion systems that can be connected for programmed condition observing of induction motors and can be stretched out effortlessly to other electrical machines too. | ||
650 | 0 |
_94626 _aMechanical Engineering |
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700 |
_97730 _aTurk, Neelam |
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773 | 0 |
_x2347-9965 _tRecent trends in mechanical engineering & technology (TMET) _dNoida STM Journals |
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856 |
_uhttp://engineeringjournals.stmjournals.in/index.php/TMET/article/view/582 _yClick here |
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942 |
_2ddc _cAR |