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Journal of Fundamental and Applied Sciences

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Diagnosis of rotor fault using neuro-fuzzy inference system

H. Merabet, T. Bahi, D. Drici, N. Halam, K. Bedoud

Abstract


The three-phase induction machines (IM) is large importance and are being widely used as electromechanical system device regarding for their robustness, reliability, and simple design with well developed technologies. This work presents a reliable method for diagnosis and detection of rotor broken bars faults in induction machine. The detection faults are based on monitoring of the current signal. Also the calculation of the value of relative energy for each level of signal decomposition using package wavelet, which will be useful as data input of adaptive Neuro-Fuzzy inference system (ANFIS). In this method, fuzzy logic is used to make decisions about the machine state. The adaptive Neuro-Fuzzy inference system is able to identify the IM bearing state with high precision. This technique is applied under the MATLAB®.


Keywords: Induction Machine; Diagnosis; Detection; Neuro-Fuzzy inference system.




http://dx.doi.org/10.4314/jfas.v9i1.12
AJOL African Journals Online