Fault detection in three phase induction motor using artificial intelligence
Fault detection in three phase induction motor using artificial intelligence
Ahmad Farid Abu Bakar
creator
text
theses
my
Kuantan, Pahang
UMP
2009
monographic
eng
xii, 82 p. : ill. (some col.) ; 30 cm. + 1 computer disc
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.
specialized
Ahmad Farid Abu Bakar
Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009
Bibliography : p. 86
Electric driving
Automatic control
Electric motors
Automatic control
Artificial intelligence
THE0006819(Local)
UMP
110801
20251114204458.0
vtls000055163