A Comparative Study about the Effectiveness of Observers and Bayesian Belief Networks for the Fault Detection and Isolation in Power Electronics

The aim of this study is to highlight the capabilities of Bayesian Belief Network (BBN) in the domain of Fault Detection and Isolation (FDI) in DC/DC converter. Reliable electrical supplying systems are those which can provide continuously electrical energy to the consumers. This continuity requires fault free processes during all the phases of energy production, transfer and conversion. In order to achieve a fault free process it is mandatory to have an FDI system that holds on the faulty cases. In this study a Bayesian Naive Classifier (BNC) structure was selected and used as a first attempt to use BBNs for DC/DC power converter FDI.

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