Design of an efficient neural network model for detection and classification of phase loss faults for three-phase induction motor
Ahmed Dawood,
B. M. Hasaneen,
A. M. Abdel-Aziz
Abstract:In industrial applications, three-phase induction motors (IMs) are widely used, and they are subjected to many types of faults. One such fault is the loss of a motor phase caused by a blown fuse, a broken wire, mechanical damage, etc. When this fault occurs during motor operation, it continues to rotate but experiences rapid heating, which can ultimately lead to motor failure. Therefore, various protection devices are available to protect the motor against this fault, but most traditional protection devices do… Show more
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