%0 Conference Paper %1 wang2015intelligent %A Wang, Huiqiang %A Jazdi, Nasser %A Göhner, Peter %B AC 2015 - 12th International Conference on Applied Computing, Dublin %D 2015 %K 2015agententechnologieunditarchitektur 2015ias ias %T An intelligent multi-agent based problem management system for industrial automation systems %U https://www.ias.uni-stuttgart.de/dokumente/publikationen/2015_An_Intelligent_Multi-Agent_Based_Problem_Management_System_for_Industrial_Automation_Systems.pdf %X In industrial automation systems, when a problem occurs at run-time and no technician is available instantly, it can result in the stopping of the whole industrial automation system. Often, the occurred problem addresses only few system functions. Theoretically, other functions can be performed. However, in most of the cases, none of the system functions can be used. In order to prevent the stop of the whole system and guarantee the performance of still available functions, this paper proposes an intelligent multi-agent based problem management system. This system receives the diagnosis results from the industrial automation system by means of a local communication agent. Problems are discussed in two cases, i.e. known problems and unknown problems. For known problems, the intelligent multi-agent based problem management system directly accesses the database to get the available functions and sends this information to industrial automation systems. For unknown problems, it analyzes the effect of problems as well as the scope of them in order to identify available functions with the help of different agents. Thus, these information about available functions are stored into the database and are sent to industrial automation systems. Consequently, the industrial automation system can continue to work with the available functions. Hence, the intelligent multi-agent based problem management system can enhance the availability of industrial automation systems through ensuring available functions and preventing long system break-down.

@inproceedings{wang2015intelligent, abstract = {In industrial automation systems, when a problem occurs at run-time and no technician is available instantly, it can result in the stopping of the whole industrial automation system. Often, the occurred problem addresses only few system functions. Theoretically, other functions can be performed. However, in most of the cases, none of the system functions can be used. In order to prevent the stop of the whole system and guarantee the performance of still available functions, this paper proposes an intelligent multi-agent based problem management system. This system receives the diagnosis results from the industrial automation system by means of a local communication agent. Problems are discussed in two cases, i.e. known problems and unknown problems. For known problems, the intelligent multi-agent based problem management system directly accesses the database to get the available functions and sends this information to industrial automation systems. For unknown problems, it analyzes the effect of problems as well as the scope of them in order to identify available functions with the help of different agents. Thus, these information about available functions are stored into the database and are sent to industrial automation systems. Consequently, the industrial automation system can continue to work with the available functions. Hence, the intelligent multi-agent based problem management system can enhance the availability of industrial automation systems through ensuring available functions and preventing long system break-down.}, added-at = {2020-04-24T14:16:26.000+0200}, author = {Wang, Huiqiang and Jazdi, Nasser and Göhner, Peter}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b5e67353d3b7738bd245a9a89914a08c/taylansngerli}, booktitle = {AC 2015 - 12th International Conference on Applied Computing, Dublin}, eventdate = {2015-10-24/2015-10-26}, eventtitle = {AC 2015 - 12th International Conference on Applied Computing}, interhash = {aebedf890a01bcde4f1a2c4b268f2e97}, intrahash = {b5e67353d3b7738bd245a9a89914a08c}, keywords = {2015agententechnologieunditarchitektur 2015ias ias}, language = {eng}, timestamp = {2020-05-19T13:44:01.000+0200}, title = {An intelligent multi-agent based problem management system for industrial automation systems}, url = {https://www.ias.uni-stuttgart.de/dokumente/publikationen/2015_An_Intelligent_Multi-Agent_Based_Problem_Management_System_for_Industrial_Automation_Systems.pdf}, venue = {Maynooth, Greater Dublin, Irland}, year = 2015 }