Nonlinear Fault Diagnosis based on RBF with Sliding Window Error Feedback

@article{Jia2006NonlinearFD,
  title={Nonlinear Fault Diagnosis based on RBF with Sliding Window Error Feedback},
  author={Mingxing Jia and Xiaoping Guo and Chunhui Zhao and Dong Xiao},
  journal={The Proceedings of the Multiconference on "Computational Engineering in Systems Applications"},
  year={2006},
  volume={2},
  pages={1980-1983}
}
Nonlinear fault diagnosis is one of the difficulties in fault diagnosis field. The paper presents the nonlinear fault estimator based on RBF with sliding window error feedback for a class of nonlinear system. The input of estimator is input and output of the system, and the output is the fault estimate. The neural network weight adjusting algorithm adopts… CONTINUE READING