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- W1567872027 abstract "We propose a methodology to diagnose multiple faults in complex systems. The approach is based on the Independent Choice Logic (ICL) and comprises two phases. In phase 1 we generate the explanations of the observed symptoms and handle the combinatorial explosion with a heuristic. In phase 2 we observe process signals to detect abnormal behavior that can lead us to identify the real faulted components. A proposal is made to automate this task with Dynamic Bayesian Networks (DBNs) embedded in the ICL formalism. The overall scheme is intended to give a definite diagnosis. ICL is a framework, which comprises a theory and a development environment. We show that ICL can be scaled-up to real-world, industrial-strength problems by using it in diagnosing faults in an electrical power transmission network." @default.
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- W1567872027 date "2000-01-01" @default.
- W1567872027 modified "2023-10-03" @default.
- W1567872027 title "A Methodology for Multiple-Fault Diagnosis Based on the Independent Choice Logic" @default.
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- W1567872027 doi "https://doi.org/10.1007/3-540-44399-1_43" @default.
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