Diagnosis of Parametric Faults Based on Identification and Statistical Methods

@article{Palma2005DiagnosisOP,
  title={Diagnosis of Parametric Faults Based on Identification and Statistical Methods},
  author={Luis Brito Palma and F. V. Coito and R. Neves da Silva},
  journal={Proceedings of the 44th IEEE Conference on Decision and Control},
  year={2005},
  pages={3838-3843}
}
This paper proposes a fault diagnosis approach for detection and diagnosis of parametric faults in linear dynamical systems. It is assumed that the system is modeled by an auto-regressive (ARX) model, and a recursive least-squares (RLS) algorithm with variable forgetting factor is used for online parameter identification. The fault detection task is done using a statistical principal component analysis (PCA) method applied to ARX parameters. The fault isolation is done using an influence matrix… CONTINUE READING

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