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.