Abstract
The technologic processes are executed in the recent technological systems by process directing devices. In these systems the instruments fix the measured values and the corresponding dates (timestamps) on the one hand, on the other hand it is also recorded who and what performed what kind of intervention during operation. The goal of our research is to work out special agents for resulting data from monitoring of functioning of discrete event systems with special regard to diagnosis of faulty mode of operation. In our research we examined vehicle industry as to what useful information can be filtered out for the sake of functional and cost efficiency from the logs resulting from the processes. One of the areas is one of the testing processes in vehicle industry which follows planning, and the other one is the examination of specific troubleshooting process in case of buses.
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Werner-Stark, Á., Dulai, T. (2012). Agent-Based Analysis and Detection of Functional Faults of Vehicle Industry Processes: A Process Mining Approach. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_47
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DOI: https://doi.org/10.1007/978-3-642-30947-2_47
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