Presentation
An Integration of FDI and DX Techniques for Determining the Minimal Diagnosis in an Automatic Way
Author/s | Ceballos Guerrero, Rafael
Pozo Hidalgo, Sergio Valle Sevillano, Carmelo del Martínez Gasca, Rafael |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2005 |
Deposit Date | 2020-03-05 |
Published in |
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ISBN/ISSN | 978-3-540-29896-0 0302-9743 |
Abstract | Two communities work in parallel in model-based diagnosis:
FDI and DX. In this work an integration of the FDI and the DX communities
is proposed. Only relevant information for the identification of the
minimal diagnosis ... Two communities work in parallel in model-based diagnosis: FDI and DX. In this work an integration of the FDI and the DX communities is proposed. Only relevant information for the identification of the minimal diagnosis is used. In the first step, the system is divided into clusters of components, and each cluster is separated into nodes. The minimal and necessary set of contexts is then obtained for each cluster. These two steps automatically reduce the computational complexity since only the essential contexts are generated. In the last step, a signature matrix and a set of rules are used in order to obtain the minimal diagnosis. The evaluation of the signature matrix is on-line, the rest of the process is totally off-line. |
Project ID. | DPI2003-07146-C02-01 |
Citation | Ceballos Guerrero, R., Pozo Hidalgo, S., Valle Sevillano, C.d. y Martínez Gasca, R. (2005). An Integration of FDI and DX Techniques for Determining the Minimal Diagnosis in an Automatic Way. En MICAI 2005: 4th Mexican International Conference on Artificial Intelligence (1082-1092), Monterrey, México: Springer. |
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An Integration of FDI.pdf | 548.0Kb | [PDF] | View/ | |