Fault diagnosis of three-phase induction motors based on vibration and electrical current signals

Induction motors (im) as a critical component of many industrial processes are subjected to issues such as aging motors,high reliability requirements,and cost competitiveness. therefore,many research efforts have been focused on fault detection in ims. the main specification of this paper involves fault detection of three phase ims using vibration and electrical current setup. this paper compares the results obtained by vibration and electrical current setup in order to a better understanding of fault detection setups’ operation in induction machines. the experimentation was performed on two faulty and one healthy squirrel cage motor. a number of data was captured through the labview software. principal component analysis (pca) was employed for feature extraction to classify the faults of ims. most vibration hardware systems are relatively costly and difficult to set up,but they resulted in significantly higher accurate and classified data in comparison to the results of current setup. © 2016 penerbit utm press. all rights reserved.