KIPE Magazine (전력전자학회지)

The Korean Institute of Power Electronics (전력전자학회)
권호 표지

인공지능에 기반한 반도체 스위치의 고장 진단

  • 김상훈 (강원대 전기전자공학과)
  • Published : 2022.02.20
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. S. H. Kim, Electric Motor Control, DC, AC, and BLDC motors, Elsevier Inc., 2017.
  2. B. Widrow and M. A. Lehr, "30 years of adaptive neural networks: perceptron, madaline, and back propagation," Proc. IEEE, Vol. 78, No. 9, pp. 1415-1442, Sep. 1990. https://doi.org/10.1109/5.58323
  3. W. J. Kim and S. H. Kim, "ANN design of multiple open-switch fault diagnosis for three-phase PWM conveners," lET Power Electron. Vol. 13, Issue 19, pp. 4490-4497, 2020.
  4. W. J. Kim and S. H. Kim, "ANN-based diagnostic method on multiple open-switch fault for three-phase PWM converters," The Transactions of the Korean Institute of Electrical Engineers, Vol. 70, No.5, pp. 764-775, 2021 https://doi.org/10.5370/KIEE.2021.70.5.764
  5. W. Winter, "Madaline rule II: a training algorithm for neural networks," IEEE 1988 Int. Conf. on Neural Networks, San Diego, CA, USA, Vol. 1, pp. 401-408, 1988.