[{"department":[{"_id":"151"}],"user_id":"55222","_id":"9949","language":[{"iso":"eng"}],"keyword":["Adaptive systems","Reliability analysis","Availability","Adaptive control","Maintenance","Self-optimizing systems","Self-optimizing control","Stochastic Petri-nets"],"publication":"Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes","type":"conference","status":"public","abstract":[{"text":"Intelligent mechatronic systems other the possibility to adapt system behavior to current dependability. This can be used to assure reliability by controlling system behavior to reach a pre-defined lifetime. By using such closed loop control, the margin of error of useful lifetime of an individual system is lowered. It is also possible to change the pre-defined lifetime during operation, by adapting system behavior to derate component usage. When planning maintenance actions, the remaining useful lifetime of each individual system has to be taken into account. Usually, stochastic properties of a fleet of systems are analyzed to create maintenance plans. Among these, the main factor is the probability of an individual system to last until maintenance. If condition-based maintenance is used, this is updated for each individual system using available information about its current state. By lowering the margin of error of useful lifetime, which directly corresponds to the time until maintenance, extended maintenance periods are made possible. Also using reliability-adaptive operation, a reversal of degradation driven maintenance planning is possible where a maintenance plan is setup not only according to system properties, but mainly to requirements imposed by maintenance personnel or infrastructure. Each system then adapts its behavior accordingly and fails according to the maintenance plan, making better use of maintenance personnel and system capabilities at the same time. In this contribution, the potential of maintenance plan driven system behavior adaptation is shown. A model including adaptation process and maintenance actions is simulated over full system lifetime to assess the advantages gained.","lang":"eng"}],"date_created":"2019-05-27T08:29:40Z","author":[{"first_name":"Tobias","full_name":"Meyer, Tobias","last_name":"Meyer"},{"id":"14802","full_name":"Kaul, Thorben","last_name":"Kaul","first_name":"Thorben"},{"first_name":"Walter","id":"21220","full_name":"Sextro, Walter","last_name":"Sextro"}],"date_updated":"2019-09-16T10:43:42Z","doi":"10.1016/j.ifacol.2015.09.647","title":"Advantages of reliability-adaptive system operation for maintenance planning","quality_controlled":"1","page":"940-945","citation":{"ama":"Meyer T, Kaul T, Sextro W. Advantages of reliability-adaptive system operation for maintenance planning. In: <i>Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes</i>. ; 2015:940-945. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2015.09.647\">10.1016/j.ifacol.2015.09.647</a>","chicago":"Meyer, Tobias, Thorben Kaul, and Walter Sextro. “Advantages of Reliability-Adaptive System Operation for Maintenance Planning.” In <i>Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes</i>, 940–45, 2015. <a href=\"https://doi.org/10.1016/j.ifacol.2015.09.647\">https://doi.org/10.1016/j.ifacol.2015.09.647</a>.","ieee":"T. Meyer, T. Kaul, and W. Sextro, “Advantages of reliability-adaptive system operation for maintenance planning,” in <i>Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes</i>, 2015, pp. 940–945.","bibtex":"@inproceedings{Meyer_Kaul_Sextro_2015, title={Advantages of reliability-adaptive system operation for maintenance planning}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2015.09.647\">10.1016/j.ifacol.2015.09.647</a>}, booktitle={Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes}, author={Meyer, Tobias and Kaul, Thorben and Sextro, Walter}, year={2015}, pages={940–945} }","mla":"Meyer, Tobias, et al. “Advantages of Reliability-Adaptive System Operation for Maintenance Planning.” <i>Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes</i>, 2015, pp. 940–45, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2015.09.647\">10.1016/j.ifacol.2015.09.647</a>.","short":"T. Meyer, T. Kaul, W. Sextro, in: Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 2015, pp. 940–945.","apa":"Meyer, T., Kaul, T., &#38; Sextro, W. (2015). Advantages of reliability-adaptive system operation for maintenance planning. In <i>Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes</i> (pp. 940–945). <a href=\"https://doi.org/10.1016/j.ifacol.2015.09.647\">https://doi.org/10.1016/j.ifacol.2015.09.647</a>"},"year":"2015"},{"language":[{"iso":"eng"}],"keyword":["self-optimizing systems","dependability","probabilistic planning","energy management"],"department":[{"_id":"151"}],"user_id":"55222","_id":"9786","status":"public","abstract":[{"text":"Self-optimizing mechatronic systems are a new class of technical systems. On the one hand, new challenges regarding dependability arise from their additional complexity and adaptivity. On the other hand, their abilities enable new concepts and methods to improve the dependability of mechatronic systems. This paper introduces a multi-level dependability concept for selfoptimizing mechatronic systems and shows how probabilistic planning can be used to improve the availability and reliability of systems in the operating phase. The general idea to improve the availability of autonomous systems by applying probabilistic planning methods to avoid energy shortages is exemplified on the example of an innovative railway vehicle.","lang":"eng"}],"publication":"Journal of Robotics and Mechatronics","type":"journal_article","title":"Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle","volume":24,"date_created":"2019-05-13T13:23:45Z","author":[{"first_name":"Benjamin","last_name":"Klöpper","full_name":"Klöpper, Benjamin"},{"first_name":"Christoph","last_name":"Sondermann-Wölke","full_name":"Sondermann-Wölke, Christoph"},{"first_name":"Christoph","full_name":"Romaus, Christoph","last_name":"Romaus"}],"date_updated":"2022-01-06T07:04:20Z","intvolume":"        24","page":"5-15","citation":{"apa":"Klöpper, B., Sondermann-Wölke, C., &#38; Romaus, C. (2012). Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle. <i>Journal of Robotics and Mechatronics</i>, <i>24</i>(1), 5–15.","short":"B. Klöpper, C. Sondermann-Wölke, C. Romaus, Journal of Robotics and Mechatronics 24 (2012) 5–15.","mla":"Klöpper, Benjamin, et al. “Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle.” <i>Journal of Robotics and Mechatronics</i>, vol. 24, no. 1, 2012, pp. 5–15.","bibtex":"@article{Klöpper_Sondermann-Wölke_Romaus_2012, title={Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle}, volume={24}, number={1}, journal={Journal of Robotics and Mechatronics}, author={Klöpper, Benjamin and Sondermann-Wölke, Christoph and Romaus, Christoph}, year={2012}, pages={5–15} }","chicago":"Klöpper, Benjamin, Christoph Sondermann-Wölke, and Christoph Romaus. “Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle.” <i>Journal of Robotics and Mechatronics</i> 24, no. 1 (2012): 5–15.","ieee":"B. Klöpper, C. Sondermann-Wölke, and C. Romaus, “Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle,” <i>Journal of Robotics and Mechatronics</i>, vol. 24, no. 1, pp. 5–15, 2012.","ama":"Klöpper B, Sondermann-Wölke C, Romaus C. Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle. <i>Journal of Robotics and Mechatronics</i>. 2012;24(1):5-15."},"year":"2012","issue":"1","quality_controlled":"1"},{"title":"Guideline for the dependability-oriented design of self-optimizing systems","doi":"10.1109/INDIN.2010.5549490","date_updated":"2022-01-06T07:04:19Z","author":[{"first_name":"Christoph","last_name":"Sondermann-Wölke","full_name":"Sondermann-Wölke, Christoph"},{"last_name":"Hemsel","full_name":"Hemsel, Tobias","id":"210","first_name":"Tobias"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"},{"last_name":"Gausemeier","full_name":"Gausemeier, Jürgen","first_name":"Jürgen"},{"first_name":"Sebastian","full_name":"Pook, Sebastian","last_name":"Pook"}],"date_created":"2019-05-13T10:25:26Z","year":"2010","page":"739 -744","citation":{"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.","bibtex":"@inproceedings{Sondermann-Wölke_Hemsel_Sextro_Gausemeier_Pook_2010, title={Guideline for the dependability-oriented design of self-optimizing systems}, DOI={<a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">10.1109/INDIN.2010.5549490</a>}, 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} }","mla":"Sondermann-Wölke, Christoph, et al. “Guideline for the Dependability-Oriented Design of Self-Optimizing Systems.” <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference On</i>, 2010, pp. 739–44, doi:<a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">10.1109/INDIN.2010.5549490</a>.","apa":"Sondermann-Wölke, C., Hemsel, T., Sextro, W., Gausemeier, J., &#38; Pook, S. (2010). Guideline for the dependability-oriented design of self-optimizing systems. In <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference on</i> (pp. 739–744). <a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">https://doi.org/10.1109/INDIN.2010.5549490</a>","ama":"Sondermann-Wölke C, Hemsel T, Sextro W, Gausemeier J, Pook S. Guideline for the dependability-oriented design of self-optimizing systems. In: <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference On</i>. ; 2010:739-744. doi:<a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">10.1109/INDIN.2010.5549490</a>","ieee":"C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline for the dependability-oriented design of self-optimizing systems,” in <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference on</i>, 2010, pp. 739–744.","chicago":"Sondermann-Wölke, Christoph, Tobias Hemsel, Walter Sextro, Jürgen Gausemeier, and Sebastian Pook. “Guideline for the Dependability-Oriented Design of Self-Optimizing Systems.” In <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference On</i>, 739–44, 2010. <a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">https://doi.org/10.1109/INDIN.2010.5549490</a>."},"quality_controlled":"1","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"],"language":[{"iso":"eng"}],"_id":"9760","department":[{"_id":"151"}],"user_id":"55222","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."}],"status":"public","publication":"Industrial Informatics (INDIN), 2010 8th IEEE International Conference on","type":"conference"}]