01621nam a2200277 a 4500 vtls000055163 KUKTEM 20251114204458.0 110801t2009 my a f m 000 0 eng d THE0006819(Local) 201905291241 amirul 201108011133 Fida UMP TK4058 .F37 2009 rs Bc. Ahmad Farid Abu Bakar Fault detection in three phase induction motor using artificial intelligence / Ahmad Farid Abu Bakar Fault detection in three phase induction motor using artificial intelligence [computer file] Kuantan, Pahang : UMP, 2009 xii, 82 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009 Bibliography : p. 86 Artificial 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. Electric driving Automatic control Electric motors Automatic control Artificial intelligence 0 0 0 1 20000 20000 2019-09-04 0 TK4058 .F37 2009 rs Bc. 0000058373 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 5368 | TK4058 .F37 2009 rs Bc. 0000058374 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2728 2734 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992