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Abstract This paper concerns the online quantitative Fault Detection and Isolation (FDI) in uncertain systems using the Analytical Redundancy Relations (ARR). It proposes a pure graphical robust diagnosis using Bond… Click to show full abstract
Abstract This paper concerns the online quantitative Fault Detection and Isolation (FDI) in uncertain systems using the Analytical Redundancy Relations (ARR). It proposes a pure graphical robust diagnosis using Bond Graph (BG) model. The proposed diagnoser directly generates online residuals with dynamical thresholds. The innovative interest is the use of only one tool (BG) for the behavioral modeling and for the FDI without expressing the analytical form of the model nor the thresholds. A hydraulic system is presented for the demonstration.
Journal Title: IFAC-PapersOnLine
Year Published: 2017
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