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A formal framework for the decentralised diagnosis of large scale discrete event systems and its application to telecommunication networks
2005
Artificial Intelligence
We address the problem of diagnosing large discrete event systems. Given a flow of observations from the system, the goal is to explain these observations on-line by identifying and localising possible failures and their consequences across the system. Model-based diagnosis approaches deal with this problem but, apart very recent proposals, either they require the computation of a global model of the system which is not possible with large discrete event systems, or they cannot perform on-line
doi:10.1016/j.artint.2005.01.002
fatcat:mkqfv737onczllzep7qcbd4yxi