This paper presents a novel scbeme for the detection and magnitude determination of turn faults. Arlificial neural network (ANN) plays a role as fault detector and fault location estimator. This study is based on simulating the faulty motor on phase (abc) frame. Insensitivity of the technique to load variation, supply voltage variation and unbalance in supply voltage is Illustrated in this paper. The results from this study suggests that the proposed method provides a powerful and a general approach to the ANN based fault detection.
Alaam, M., Abdelkariem, M., & Ekhazendar, M. A. (2008). NEURAL NETWORK-BASED APPROACH FOR DETECTION AND MAGNITUDE DETERMINATION OF TURN FAULTS IN INDUCTION MOTORS. ERJ. Engineering Research Journal, 31(4), 331-336. doi: 10.21608/erjm.2008.69820
MLA
M. Alaam; M. Abdelkariem; M. A. Ekhazendar. "NEURAL NETWORK-BASED APPROACH FOR DETECTION AND MAGNITUDE DETERMINATION OF TURN FAULTS IN INDUCTION MOTORS". ERJ. Engineering Research Journal, 31, 4, 2008, 331-336. doi: 10.21608/erjm.2008.69820
HARVARD
Alaam, M., Abdelkariem, M., Ekhazendar, M. A. (2008). 'NEURAL NETWORK-BASED APPROACH FOR DETECTION AND MAGNITUDE DETERMINATION OF TURN FAULTS IN INDUCTION MOTORS', ERJ. Engineering Research Journal, 31(4), pp. 331-336. doi: 10.21608/erjm.2008.69820
VANCOUVER
Alaam, M., Abdelkariem, M., Ekhazendar, M. A. NEURAL NETWORK-BASED APPROACH FOR DETECTION AND MAGNITUDE DETERMINATION OF TURN FAULTS IN INDUCTION MOTORS. ERJ. Engineering Research Journal, 2008; 31(4): 331-336. doi: 10.21608/erjm.2008.69820
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