%0 Book Section %1 QueirozLeitao16DoCEIS %A Queiroz, Jonas %A Leitão, Paulo %B Technological Innovation for Cyber-Physical Systems: 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Costa de Caparica, Portugal, April 11--13, 2016, Proceedings %C Cham %D 2016 %E Camarinha-Matos, Luis M. %E Falcão, António J. %E Vafaei, Nazanin %E Najdi, Shirin %I Springer %K 01624 springer paper embedded ai factory processing optimize agent middleware data pattern recognition analysis zzz.cps %P 99--106 %R 10.1007/978-3-319-31165-4_10 %T Agent-Based Data Analysis Towards the Dynamic Adaptation of Industrial Automation Processes %V 470 %X Industrial complex systems demand the dynamic adaptation and optimization of their operation to cope with operational and business changes. In order to address such requirements and challenges, cyber-physical systems promotes the development of intelligent production units and products. The realization of such concepts requires, amongst others, advanced data analysis approaches, capable to take advantage of increased availability of data, in order to overcome the inherent dynamics of industrial environments, by providing more modular, adaptable and responsiveness systems. In this context, this work introduces an agent-based data analysis approach to support the supervisory and control levels of industrial processes. It proposes to endow agents with data analysis capabilities and cooperation strategies, enabling them to perform distributed data analysis and dynamically improve their analysis capabilities, based on the aggregation of shared knowledge. Some experiments have been performed in the context of an electric micro grid to validate this approach. %@ 978-3-319-31164-7

@incollection{QueirozLeitao16DoCEIS, abstract = {Industrial complex systems demand the dynamic adaptation and optimization of their operation to cope with operational and business changes. In order to address such requirements and challenges, cyber-physical systems promotes the development of intelligent production units and products. The realization of such concepts requires, amongst others, advanced data analysis approaches, capable to take advantage of increased availability of data, in order to overcome the inherent dynamics of industrial environments, by providing more modular, adaptable and responsiveness systems. In this context, this work introduces an agent-based data analysis approach to support the supervisory and control levels of industrial processes. It proposes to endow agents with data analysis capabilities and cooperation strategies, enabling them to perform distributed data analysis and dynamically improve their analysis capabilities, based on the aggregation of shared knowledge. Some experiments have been performed in the context of an electric micro grid to validate this approach.}, added-at = {2016-05-14T10:18:35.000+0200}, address = {Cham}, author = {Queiroz, Jonas and Leit{\~{a}}o, Paulo}, biburl = {https://www.bibsonomy.org/bibtex/229485524a878c59e9edf7f8c37c4b1cc/flint63}, booktitle = {Technological Innovation for Cyber-Physical Systems: 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Costa de Caparica, Portugal, April 11--13, 2016, Proceedings}, doi = {10.1007/978-3-319-31165-4_10}, editor = {Camarinha-Matos, Luis M. and Falc{\~{a}}o, Ant\'{o}nio J. and Vafaei, Nazanin and Najdi, Shirin}, file = {Springer4Pro:2016/QueirozLeitao16DoCEIS.pdf:PDF;}, groups = {public}, interhash = {667e449209896bd9768c3cfe3033fa31}, intrahash = {2e6c5066075637d6e969862a15e365a8}, isbn = {978-3-319-31164-7}, issn = {1868-4238}, keywords = {01624 springer paper embedded ai factory processing optimize agent middleware data pattern recognition analysis zzz.cps}, pages = {99--106}, publisher = {Springer}, series = {IFIP Advances in Information and Communication Technology}, timestamp = {2016-05-19T11:59:02.000+0200}, title = {Agent-Based Data Analysis Towards the Dynamic Adaptation of Industrial Automation Processes}, username = {flint63}, volume = 470, year = 2016 }