Three Phase Induction Motor Faults Detection by Using Radial Basis Function Neural Network

Research Article

Three Phase Induction Motor Faults Detection by Using Radial Basis Function Neural Network

In the present study the Artificial Neural Network (ANN) technique for the detection of (bearing and stator inter turn faults) incipient faults in an induction motor bas been explored. Radial basis function approach has been used for ANN Training and test. Three phase instantaneous currents and angular velocity depending on rotor speed are utilized in proposed approach. An experimental setup is used to implement an online fault defector

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Ahmed N. Abd Alla, 2006. Three Phase Induction Motor Faults Detection by Using Radial Basis Function Neural Network. Journal of Applied Sciences, 6: 2817-2820.

DOI: 10.3923/jas.2006.2817.2820

URL: https://scialert.net/abstract/?doi=jas.2006.2817.2820

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Ahmed N. Abd Alla

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Research Article

Three Phase Induction Motor Faults Detection by Using Radial Basis Function Neural Network

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