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- W2023197842 abstract "One of the current challenges today in the automotive industry is to establish a precise diagnosis in the after-sales workshops in a reasonable time. With the massive use of Electronic Control Units (E.C.U.) for safety and comfort equipment the dependencies between components and the complexity of vehicles has dramatically increased in the last decade. Therefore, the diagnostic methodologies of computer assisted tools need to be improved. In this paper we report our experience of the combination of a heuristic diagnostic methodology and weighted causal networks (from the field of model based diagnostic methodologies). The experimental platform used for our experiments is the car diagnostic station SIDIS Enterprise developed by Siemens AG. In this new methodology the candidate generation is a weighted result of the informational content of the components in the models combined with the evaluation of expert rules. We analyzed this methodology for different parameters and report the results in the automotive domain." @default.
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- W2023197842 date "2009-01-01" @default.
- W2023197842 modified "2023-09-25" @default.
- W2023197842 title "Combination of Heuristic and Model Based Diagnostic Methods Applied to Car Diagnosis" @default.
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- W2023197842 doi "https://doi.org/10.3182/20090603-3-ru-2001.0182" @default.
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