@inproceedings{BergerLebedynskaMinhas, author = {Berger, Ulrich and Lebedynska, Yuliya and Minhas, Sarfraz Ul-Haque}, title = {An approach of a knowledge management system in an automated manufacturing environment}, series = {Automation \& information, theory and advanced technology, proceedings of the 9th WSEAS International Conference on Automation and Information (ICAI'08), Bucharest, Romania, June 24 - 26, 2008}, booktitle = {Automation \& information, theory and advanced technology, proceedings of the 9th WSEAS International Conference on Automation and Information (ICAI'08), Bucharest, Romania, June 24 - 26, 2008}, publisher = {WSEAS Press}, address = {Athens}, isbn = {978-960-676677-0}, pages = {566 -- 569}, language = {en} } @inproceedings{BergerLebedynskaVargas, author = {Berger, Ulrich and Lebedynska, Yuliya and Vargas, Veronica}, title = {Knowledge sharing based on semantic nets and mereology to avoid risks in manufacturing}, language = {en} } @inproceedings{BergerLebedynska, author = {Berger, Ulrich and Lebedynska, Yuliya}, title = {Development of a Training System and Estimation of Efficiency using Mathematical Methods}, language = {en} } @inproceedings{LebedynskaBerger, author = {Lebedynska, Yuliya and Berger, Ulrich}, title = {Development of an Information system with Maturity Degree Management for Automated Screwing Processes}, series = {IADIS International Conference Information Systems 2012}, booktitle = {IADIS International Conference Information Systems 2012}, editor = {Nunes, Miguel Baptista and Isa{\´i}as, Pedro and Powell, Philip}, publisher = {IADIS Press}, isbn = {978-972-8939-68-7}, pages = {49 -- 56}, abstract = {Sophisticated screwing processes in modern screwing equipment are marked with complex parameter settings of the screwing operations and with their assessment requirements. To gain the potential for improvement, the screwing processes must be handled using a special strategy. To determine the exact parameters and to achieve improved process quality requires development of analysis tools to diagnose the parameter attributes. Increased requirements in the screwing processes demand operator best fit training procedures. A continuous improvement concept for the process control is required to enhance work quality. An information system with a maturity degree for automated screwing processes is developed. To avoid the technical risks, some mechanisms were developed, which automatically extract the process related data and provide it to operator afterwards. By using the information system, information (process and control data) about the parameterization of the screwing control with standardized correlations and a clear tracing of working steps is provided. In this way the running, modification and optimization of the screwing process can be implemented without errors. The developed information system was evaluated on an experimental platform for screwing process in the research laboratory. Thereby, the functionalities of the platform and their components are described and a validation of the developed system is carried out. The development and assembly of the components is presented. Data interrelations are also described in detail. With the developed information system the correct parameterization of the screwing processes with a degree of maturity of the process parameters were achieved. The evaluation of the maturity degree is made with the help of functional properties of the parameters. Consequently, an obvious minimization of the mistakes and a simple screwing process control is achieved.}, language = {en} } @techreport{MehicicEberhardtSchrapeKrauseetal., author = {Mehicic-Eberhardt, Sana and Schrape, Stefanie and Krause, Lars and Vadachkoriya, Sofiya and Lebedynska, Yuliya and M{\"o}ller, Sarah and Lykina, Valeriya}, title = {Risikodefinition aus verschiedenen Anwendungssichten - Diskussionspapier der Fachklasse "Modelle, Methoden und Werkzeuge zum Risikomanagement" der International Graduate School der BTU Cottbus}, editor = {Woll, Ralf and Albrecht, Eike and Mißler-Behr, Magdalena and Hoppe, Annette and Berger, Ulrich and Kalusche, Wolfdietrich and Pickenhain, Sabine}, publisher = {BTU, UWV Eigenverlag}, address = {Cottbus}, pages = {77}, language = {de} } @inproceedings{LebedynskaBerger, author = {Lebedynska, Yuliya and Berger, Ulrich}, title = {Intelligent Knowledge-based System for the Automated Screwing Process Control}, series = {AIKED 2012, 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases}, booktitle = {AIKED 2012, 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases}, editor = {Rudas, Imre J. and Zaharim, Azami and Sopian, Kamaruzzaman and Strouhal, Jiri}, publisher = {WSEAS Press}, isbn = {978-1-61804-068-8}, pages = {175 -- 180}, abstract = {In this approach a knowledge-based system with a parameters quality assessment for automated screwing processes is developed. To avoid technical risks, it makes sense to develop methods, which automatically extract the process related data and provide it to operator afterwards. By using the knowledgebased system, information (process and control data) about the parameterization of the screwing process control with standardized correlations and tested process steps is provided. In this way the running, modification and optimization of the screwing process can be implemented without errors. This system was tested on an experimental platform for screwing process in the research laboratory. Thereby, the functionalities of the platform and their components are described and a validation of the developed system is carried out. Data interrelations between different software components are elaborated in detail. The validation of the system is done using the screwing process test case. The precision in the parameterization is made with help of functional properties of parameters. Consequently, an obvious minimization of the parameterization errors and a simple screwing process control are achieved.}, language = {en} } @misc{BergerLebedynskaMinhas, author = {Berger, Ulrich and Lebedynska, Yuliya and Minhas, Sarfraz Ul-Haque}, title = {Incorporating Intelligence and development of knowledge acquisition system in an automated manufacturing environment}, series = {International Journal of Systems Applications, Engineering \& Development}, volume = {2}, journal = {International Journal of Systems Applications, Engineering \& Development}, number = {2}, pages = {58 -- 65}, abstract = {This paper focuses on the systematic methodology for incorporating intelligence and development methodology for knowledge acquisition system in an automated manufacturing environment. The intelligence is incorporated in the shape of technology data catalogue that contains the knowledge about production system as a whole. The knowledge acquisition system is implemented in the form of a multiuser scalable interface into remote human machine interface devices (e.g. Personal Digital Assistants) with a purpose of extracting concrete and precise information and knowledge about manufacturing systems and processes in highly automated manufacturing environment. The extraction of precise knowledge as well as organized access to the knowledge will facilitates the operators, technicians and engineers for making faster, safer and simpler on-process modifications and parameters optimization.}, language = {en} } @incollection{VargasMinhasLebedynskaetal., author = {Vargas, Veronica and Minhas, Sarfraz Ul-Haque and Lebedynska, Yuliya and Berger, Ulrich}, title = {Enhancing Productivity through Integrated Intelligent Methodology in Automated Production Environment}, language = {en} } @phdthesis{Lebedynska, author = {Lebedynska, Yuliya}, title = {Entwicklung eines Informationssystems mit Reifegradmanagement f{\"u}r automatisierte Schraubprozesse}, publisher = {Shaker}, address = {Aachen}, isbn = {978-3-8440-0289-8}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus-22267}, pages = {XVI, 150}, language = {de} }