Data mining approach for supply unbalance detection in induction motor

@article{akir2009DataMA,
  title={Data mining approach for supply unbalance detection in induction motor},
  author={Abd{\"u}lkadir Çakir and Hakan Çalis and Ecir U. K{\"u}ç{\"u}ksille},
  journal={Expert Syst. Appl.},
  year={2009},
  volume={36},
  pages={11808-11813}
}
This paper describes an approach for detection of the supply unbalance condition in induction motors by using data mining process. Simulation results have shown that a good indicator of the fault is the amplitude of the second harmonic of the supply frequency component (2f) in the signal obtained by the differences in supply current zero crossing instants. In the study, linear regression (LR), pace regression (PR), sequential minimal optimization (SMO), M5 model tree, M5'Rules, KStar, additive… CONTINUE READING