Failure Prognosis for Hybrid Systems

Finally, components of a hybrid system may exhibit a different degradation behaviour in different modes of operation. Accordingly, for different system modes, different sets of mathematical models may be used for matching a degradation profile. As a result, degradation models are mode-dependent and so is the RUL of faulty components. 

9 Failure Prognosis for Hybrid Systems Based on ARR Residuals 

5 Degradation profile of the incipient fault in the efficiency p and in the resistance R2. a Decrease of p. b Buildup of R2 

For illustration, a simple passive network with one switch and three sensors depicted in Fig. 9.3 is considered. 

The DBG of the network in Fig. 9.4 accounts for a degradation of the voltage supply indicated by the efficiency and an incipient fault in resistance R2. 

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Chapter 9 briefly consideres the use of ARRs derived from a bond graph for the purpose of failure prognosis for hybrid systems. 

The focus of this book has been on the presentation of a bond graph model-based approach to FDI and failure prognosis for hybrid systems. It turns out that ARRs derived from a bond graph play a key role in all tasks that have been considered, in FDI, in system mode identification and in failure prognosis. Simulation results have been obtained by using the dassl solver as part of the open source software Scilab [5]. 

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