Aníbal Bregón

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—This work is focused on structural approaches to studying diagnosability properties given a system model taking into account, both simultaneously or separately, integral and differential causal interpretations for differential constraints. We develop a model characterization and corresponding algorithms, for studying system diagnosability using a(More)
—Within systems health management, prognostics fo-cuses on predicting the remaining useful life of a system. In the model-based prognostics paradigm, physics-based models are constructed that describe the operation of a system and how it fails. Such approaches consist of an estimation phase, in which the health state of the system is first identified, and a(More)
Accurate modeling mechanisms play an important role in model-based diagnosis, and the bond graph modeling language has proved to be helpful for this task. In this paper we present an algorithm for automatically derive ARR-like structures, possible conflicts, from the bond graph model of a system. The algorithm uses temporal causal graphs as an intermediate(More)