Induction Machine Rotor and Stator Faults Detection by Applying the N-F Network
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This chapter focuses on the monitoring and diagnosis of induction machine faults, particularly the broken rotor bars. The design of a system for monitoring, detecting, and locating incipient faults for different loads of the machine is achieved by the use of advanced intelligent techniques based on ANFIS-based neuro-fuzzy network. The knowledge base is based on indicators derived from the stator current spectral analysis of the machine which in addition has to detect and assess the number of faulty bars.
2014 ◽
Vol 61
(5)
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pp. 2452-2463
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2014 ◽
Vol 61
(6)
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pp. 2942-2942
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2017 ◽
Vol 407
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pp. 170-190
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