Neural networks data fusion algorithm of electronic equipment fault diagnosis

@article{Zhu2004NeuralND,
  title={Neural networks data fusion algorithm of electronic equipment fault diagnosis},
  author={Diqi Zhu and Shenglin Yu},
  journal={Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)},
  year={2004},
  volume={2},
  pages={1815-1818 Vol.2}
}
In order to judge accurately the fault component of an analog circuit, a fuzzy neural networks fault classifier was designed based on BP neural networks and fuzzy logical theory, and it was used in the photovoltaic radar electronic equipment fault diagnosis. By measuring the temperature and voltage of the circuit component, the membership function of the two sensors to the circuit component was obtained, the data fusion was done by using a fuzzy BP neural networks classifier, the fusion fault… CONTINUE READING
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