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Classification of Bearing Faults in an Induction Motor Using Statistical Analysis and ANN

Dr. Saurabh Jadhao, Mr. Vijay Karale, Dr. Sudhir Paraskar, Dr. Ravishankar Kankale, Dr. Ganesh Bonde

Abstract


This paper addresses a method for the classification and diagnosis of bearing fault. In this method a multivariable statistical analysis combined with ANN is used. The fault features are extracted using the statistical approach. The extracted features are used as inputs in neural network for the classification purpose. The results obtained prove that the developed method can reliably diagnose different conditions of bearing including healthy condition.

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References


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