TY  - BOOK
AU  - Ahmad Farid Abu Bakar
TI  - Fault detection in three phase induction motor using artificial intelligence
SN  - THE0006819(Local)
PY  - 2009///
CY  - Kuantan, Pahang
PB  - UMP
KW  - Electric driving
KW  - Automatic control
KW  - Electric motors
KW  - Artificial intelligence
N1  - Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009; Bibliography : p. 86
N2  - 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
ER  -