Diagnosis of Bond Graph modeled uncertain parameters systems using residuals sensitivity

In this paper, a method for on-line fault detection and isolation of uncertain parameter systems is proposed. Residual expressions are generated from bond graph model in derivative causality. Detection is based on residual fixed thresholds around a working point and adaptive thresholds that vary according to the set point. Thresholds are generated from the analysis of residuals' sensitivity to different parameters. However, isolation is based on the fault signature matrix and the study of residual tendency. A real simulation example is provided to show the efficiency of the proposed method.

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