Neural-network-based motor rolling bearing fault diagnosis

@article{Li2000NeuralnetworkbasedMR,
  title={Neural-network-based motor rolling bearing fault diagnosis},
  author={Bo Li and Mo-Yuen Chow and Yodyium Tipsuwan and James C. Hung},
  journal={IEEE Trans. Industrial Electronics},
  year={2000},
  volume={47},
  pages={1060-1069}
}
Motor systems are very important in modern society. They convert almost 60% of the electricity produced in the U.S. into other forms of energy to provide power to other equipment. In the performance of all motor systems, bearings play an important role. Many problems arising in motor operations are linked to bearing faults. In many cases, the accuracy of the instruments and devices used to monitor and control the motor system is highly dependent on the dynamic performance of the motor bearings… CONTINUE READING

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