Abstract
There are many problems in the fault diagnosis of system area network which facing enormous challenges. These problems are mainly due to the fact that network fault is often conditionally dependent on many factors, which are usually dependent on complex association relationship. Non-linear mapping may exists between symptoms and causes of network fault, and the same network fault often has different symptoms at different time, while one symptom can be the result of several network faults. Because there is a lot of correlative information in the network, how to construct the model of fault diagnosis is a challenging topic. In this paper, we firstly provided the description of the diagnosis costs, and then we proposed the model based on the condition of dependent diagnosis actions and the model based on the condition of dependent faults. Through a series of theoretical support, we have seen that our diagnostic model produces expected cost of diagnosis that are close to the optimal result and the lower than the simple planners for a domain of troubleshooting.
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Huang, J., Chen, L. (2015). FDM-MC: A Fault Diagnosis Model of the Minimum Diagnosis Cost in the System Area Network. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9142. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_40
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DOI: https://doi.org/10.1007/978-3-319-20469-7_40
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