[{"language":[{"iso":"eng"}],"type":"conference","citation":{"mla":"Sondermann-Wölke, Christoph, et al. “Guideline for the Dependability-Oriented Design of Self-Optimizing Systems.” Industrial Informatics (INDIN), 2010 8th IEEE International Conference On, 2010, pp. 739–44, doi:10.1109/INDIN.2010.5549490.","bibtex":"@inproceedings{Sondermann-Wölke_Hemsel_Sextro_Gausemeier_Pook_2010, title={Guideline for the dependability-oriented design of self-optimizing systems}, DOI={10.1109/INDIN.2010.5549490}, booktitle={Industrial Informatics (INDIN), 2010 8th IEEE International Conference on}, author={Sondermann-Wölke, Christoph and Hemsel, Tobias and Sextro, Walter and Gausemeier, Jürgen and Pook, Sebastian}, year={2010}, pages={739–744} }","ama":"Sondermann-Wölke C, Hemsel T, Sextro W, Gausemeier J, Pook S. Guideline for the dependability-oriented design of self-optimizing systems. In: Industrial Informatics (INDIN), 2010 8th IEEE International Conference On. ; 2010:739-744. doi:10.1109/INDIN.2010.5549490","apa":"Sondermann-Wölke, C., Hemsel, T., Sextro, W., Gausemeier, J., & Pook, S. (2010). Guideline for the dependability-oriented design of self-optimizing systems. In Industrial Informatics (INDIN), 2010 8th IEEE International Conference on (pp. 739–744). https://doi.org/10.1109/INDIN.2010.5549490","chicago":"Sondermann-Wölke, Christoph, Tobias Hemsel, Walter Sextro, Jürgen Gausemeier, and Sebastian Pook. “Guideline for the Dependability-Oriented Design of Self-Optimizing Systems.” In Industrial Informatics (INDIN), 2010 8th IEEE International Conference On, 739–44, 2010. https://doi.org/10.1109/INDIN.2010.5549490.","ieee":"C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline for the dependability-oriented design of self-optimizing systems,” in Industrial Informatics (INDIN), 2010 8th IEEE International Conference on, 2010, pp. 739–744.","short":"C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, S. Pook, in: Industrial Informatics (INDIN), 2010 8th IEEE International Conference On, 2010, pp. 739–744."},"year":"2010","page":"739 -744","date_updated":"2022-01-06T07:04:19Z","_id":"9760","doi":"10.1109/INDIN.2010.5549490","author":[{"last_name":"Sondermann-Wölke","full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph"},{"last_name":"Hemsel","id":"210","first_name":"Tobias","full_name":"Hemsel, Tobias"},{"id":"21220","last_name":"Sextro","full_name":"Sextro, Walter","first_name":"Walter"},{"last_name":"Gausemeier","full_name":"Gausemeier, Jürgen","first_name":"Jürgen"},{"last_name":"Pook","full_name":"Pook, Sebastian","first_name":"Sebastian"}],"quality_controlled":"1","department":[{"_id":"151"}],"publication":"Industrial Informatics (INDIN), 2010 8th IEEE International Conference on","keyword":["RailCab","dependability-critical behavior","dependability-oriented design","failure mode","rail-bound vehicle","secure self-optimizing systems","self-optimizing function modules","optimisation","railways","self-adjusting systems"],"status":"public","date_created":"2019-05-13T10:25:26Z","abstract":[{"lang":"eng","text":"Self-optimizing systems are able to adapt their behavior autonomously according to their current self-determined objectives. Unforeseen influences could lead to dependability-critical behavior of the system. Methods are required which secure self-optimizing systems during operation. These methods to increase the dependability of the system should already be taken into consideration in the design process. This paper presents a guideline for the dependability-oriented design of self-optimizing systems, which integrates established classical methods like failure mode and effects analysis as well as methods based on self-optimization. On the one hand self-optimization is used to increase the dependability of the system by integrating objectives like safety, availability, and reliability to the objectives of the system. On the other hand methods are required to ensure the self-optimization itself. As basis for this guideline serves the principle solution of the system. The six phases of the guideline extend the design process and lead to an enhanced principle solution. Additionally, the guideline illustrates phases to implement and validate the self-optimizing system. The proposed guideline is applied to an innovative rail-bound vehicle, called RailCab, which is equipped with self-optimizing function modules."}],"user_id":"55222","title":"Guideline for the dependability-oriented design of self-optimizing systems"},{"keyword":["condition monitoring","mechatronic systems","rail bound vehicle","rail guidance module","self-optimization","self-optimizing function modules","condition monitoring","mechatronics","railway rolling stock","self-adjusting systems"],"department":[{"_id":"151"}],"publication":"Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:","author":[{"full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph","last_name":"Sondermann-Wölke"},{"full_name":"Sextro, Walter","first_name":"Walter","id":"21220","last_name":"Sextro"}],"date_created":"2019-05-13T09:31:52Z","status":"public","abstract":[{"lang":"eng","text":"New mechatronic systems, called self-optimizing systems, are able to adapt their behavior according to environmental, user and system specific influences. Self-optimizing systems are complex and due to their non-deterministic behavior comprise hidden risks, which cannot be foreseen in the design phase of the system. Therefore, this paper presents modifications of the current condition monitoring policy, to be able to cope with this new kind of systems. Beside avoiding critical situations evoked by self-optimization, the proposed concept uses self-optimization to increase the dependability of the system. In this case, the concept is applied to the active guidance module of an innovative rail-bound vehicle."}],"user_id":"55222","title":"Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules","language":[{"iso":"eng"}],"page":"15 -20","citation":{"chicago":"Sondermann-Wölke, Christoph, and Walter Sextro. “Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules.” In Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:, 15–20, 2009. https://doi.org/10.1109/ComputationWorld.2009.47.","apa":"Sondermann-Wölke, C., & Sextro, W. (2009). Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules. In Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World: (pp. 15–20). https://doi.org/10.1109/ComputationWorld.2009.47","ama":"Sondermann-Wölke C, Sextro W. Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules. In: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World: ; 2009:15-20. doi:10.1109/ComputationWorld.2009.47","mla":"Sondermann-Wölke, Christoph, and Walter Sextro. “Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules.” Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:, 2009, pp. 15–20, doi:10.1109/ComputationWorld.2009.47.","bibtex":"@inproceedings{Sondermann-Wölke_Sextro_2009, title={Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules}, DOI={10.1109/ComputationWorld.2009.47}, booktitle={Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:}, author={Sondermann-Wölke, Christoph and Sextro, Walter}, year={2009}, pages={15–20} }","short":"C. Sondermann-Wölke, W. Sextro, in: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:, 2009, pp. 15–20.","ieee":"C. Sondermann-Wölke and W. Sextro, “Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules,” in Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:, 2009, pp. 15–20."},"year":"2009","type":"conference","date_updated":"2022-01-06T07:04:19Z","_id":"9742","doi":"10.1109/ComputationWorld.2009.47"}]