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http://dx.doi.org/10.7471/ikeee.2019.23.4.1157

Study on the Development of Diagnosis Algorithm for Induction Motor Using Current and Magnetic Flux Sensors  

Han, Sang-Bo (Dept. of Electrical Engineering, Kyungnam University)
Publication Information
Journal of IKEEE / v.23, no.4, 2019 , pp. 1157-1165 More about this Journal
Abstract
This paper discussed the results of the development and application of the machine learning algorithm to the induction motor for the preventive diagnostic system using current and magnetic flux signals. The optimal 29 features were extracted for identifying faulted types of induction motor. In particular, any load rate was derived using the tendency of the difference value from the center of the 7th harmonic frequency to the sideband of the current signal, and the corresponding classification accuracy showed about 84.6% by the KPCA feature reduction technique and the k-NN determination algorithm.
Keywords
Current; Diagnostic system; Induction motor; Magnetic flux; Machine learning;
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