Robust fault detection using analytical and soft computing methods

  title={Robust fault detection using analytical and soft computing methods},
  author={J{\'o}zef Korbicz},
The paper focuses on the problem of robust fault detection using analytical methods and soft computing. Taking into account the model-based approach to Fault Detection and Isolation (FDI), possible applications of analytical models, and first of all observers with unknown inputs, are considered. The main objective is to show how to employ the bounded-error approach to determine the uncertainty of soft computing models (neural networks and neuro-fuzzy networks). It is shown that based on soft… CONTINUE READING


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