| 000 | 01621nam a2200277 a 4500 | ||
|---|---|---|---|
| 001 | vtls000055163 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204458.0 | ||
| 008 | 110801t2009 my a f m 000 0 eng d | ||
| 020 | _aTHE0006819(Local) | ||
| 039 | 9 |
_a201905291241 _bamirul _y201108011133 _zFida |
|
| 040 | _aUMP | ||
| 090 | _aTK4058 .F37 2009 rs Bc. | ||
| 100 | 0 | _aAhmad Farid Abu Bakar | |
| 245 | 1 | 0 |
_aFault detection in three phase induction motor using artificial intelligence / _cAhmad Farid Abu Bakar |
| 246 | 3 |
_aFault detection in three phase induction motor using artificial intelligence _h[computer file] |
|
| 260 |
_aKuantan, Pahang : _bUMP, _c2009 |
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| 300 |
_axii, 82 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc |
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| 502 | _aProject paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009 | ||
| 504 | _aBibliography : p. 86 | ||
| 520 | 3 | _aArtificial intellegence (AI) techniques have proved their ability in detection of incipient faults in electrical machines. in this project, the fault diagnosis of three phase induction motors is studied detailed in unbalance voltage and stator inter turn fault using simulation models and neural networks have been used to train the data using Radial Basis Function Neural Network (RBFNN) in MATLAB with Graphical USer Interface Development Environment (GUIDE) structured. | |
| 650 | 0 |
_aElectric driving _xAutomatic control |
|
| 650 | 0 |
_aElectric motors _xAutomatic control |
|
| 650 | 0 | _aArtificial intelligence | |
| 999 |
_aVIRTUA40 _c2728 _d2734 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992 | ||