Fault Detection and Diagnosis for Nonlinear System Based on Neural Network on-line Approximator

@article{Guo2006FaultDA,
  title={Fault Detection and Diagnosis for Nonlinear System Based on Neural Network on-line Approximator},
  author={Li Guo and Yantao Tian and Ming Fang},
  journal={2006 6th World Congress on Intelligent Control and Automation},
  year={2006},
  volume={2},
  pages={5530-5534}
}
A fault detection and diagnosis method based on neural networks on-line approximation structure for nonlinear system with uncertainties was presented. The approximator, which was realized by radial basis function networks, was used for learning the nonlinear fault functions to monitor the abnormal behavior of dynamic system. When faults occured, the on-line… CONTINUE READING