[{"year":"2018","type":"dissertation","citation":{"apa":"Meyer, T. (2018). Optimization-based reliability control of mechatronic systems. Shaker.","ama":"Meyer T. Optimization-Based Reliability Control of Mechatronic Systems. Shaker; 2018.","chicago":"Meyer, Tobias. Optimization-Based Reliability Control of Mechatronic Systems. Shaker, 2018.","bibtex":"@book{Meyer_2018, title={Optimization-based reliability control of mechatronic systems}, publisher={Shaker}, author={Meyer, Tobias}, year={2018} }","mla":"Meyer, Tobias. Optimization-Based Reliability Control of Mechatronic Systems. Shaker, 2018.","short":"T. Meyer, Optimization-Based Reliability Control of Mechatronic Systems, Shaker, 2018.","ieee":"T. Meyer, Optimization-based reliability control of mechatronic systems. Shaker, 2018."},"language":[{"iso":"eng"}],"_id":"9994","date_updated":"2023-09-15T12:26:09Z","status":"public","date_created":"2019-05-27T10:21:17Z","author":[{"last_name":"Meyer","full_name":"Meyer, Tobias","first_name":"Tobias"}],"publisher":"Shaker","keyword":["dependability","reliability","behavior adaptation","self-optimization","multiobjective optimization","optimal control","automotive drivetrain","clutch system","reliability-adaptive system"],"department":[{"_id":"151"}],"title":"Optimization-based reliability control of mechatronic systems","user_id":"210","abstract":[{"lang":"eng","text":"Reliability-adaptive systems allow an adaptation of system behavior based on current system reliability. They can extend their lifetime at the cost of lowered performance or vice versa. This can be used to adapt failure behavior according to a maintenance plan, thus increasing availability while using up system capability fully. To facilitate setup, a control algorithm independent of a degradation model is desired. A closed loop control technique for reliability based on a health index, a measure for system degradation, is introduced. It uses self-optimization as means to implement behavior adaptation. This is based on selecting the priorities of objectives that the system pursues. Possible working points are computed beforehand using model-based multiobjective optimization techniques. The controller selects the priorities of objectives and this way balances reliability and performance. As exemplary application, an automatically actuated single plate dry clutch is introduced. The entire reliability control is setup and lifetime experiments are conducted. Results show that the variance of time to failure is reduced greatly, making the failure behavior more predictable. At the same time, the desired usable lifetime can be extended at the cost of system performance to allow for changed maintenance intervals. Together, these possibilities allow for greater system usage and better planning of maintenance."}]},{"page":"46-53","citation":{"mla":"Meyer , Tobias, et al. “Method to Identify Dependability Objectives in Multiobjective Optimization Problem.” Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence, vol. 15, 2014, pp. 46–53, doi:10.1016/j.protcy.2014.09.033.","bibtex":"@article{Meyer _Sondermann-Wölke_Sextro_2014, title={Method to Identify Dependability Objectives in Multiobjective Optimization Problem}, volume={15}, DOI={10.1016/j.protcy.2014.09.033}, journal={Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence}, author={Meyer , Tobias and Sondermann-Wölke, Christoph and Sextro, Walter}, year={2014}, pages={46–53} }","apa":"Meyer , T., Sondermann-Wölke, C., & Sextro, W. (2014). Method to Identify Dependability Objectives in Multiobjective Optimization Problem. Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence, 15, 46–53. https://doi.org/10.1016/j.protcy.2014.09.033","ama":"Meyer T, Sondermann-Wölke C, Sextro W. Method to Identify Dependability Objectives in Multiobjective Optimization Problem. Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence. 2014;15:46-53. doi:10.1016/j.protcy.2014.09.033","chicago":"Meyer , Tobias, Christoph Sondermann-Wölke, and Walter Sextro. “Method to Identify Dependability Objectives in Multiobjective Optimization Problem.” Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence 15 (2014): 46–53. https://doi.org/10.1016/j.protcy.2014.09.033.","ieee":"T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability Objectives in Multiobjective Optimization Problem,” Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence, vol. 15, pp. 46–53, 2014.","short":"T. Meyer , C. Sondermann-Wölke, W. Sextro, Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence 15 (2014) 46–53."},"year":"2014","type":"journal_article","language":[{"iso":"eng"}],"doi":"10.1016/j.protcy.2014.09.033","_id":"9885","date_updated":"2019-09-16T10:22:04Z","intvolume":" 15","volume":15,"date_created":"2019-05-20T13:19:37Z","status":"public","publication":"Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence","department":[{"_id":"151"}],"keyword":["Self-optimization","multiobjective optimization","objective function","dependability","intelligent system","behavior adaptation"],"quality_controlled":"1","author":[{"first_name":"Tobias","full_name":"Meyer , Tobias","last_name":"Meyer "},{"last_name":"Sondermann-Wölke","first_name":"Christoph","full_name":"Sondermann-Wölke, Christoph"},{"id":"21220","last_name":"Sextro","full_name":"Sextro, Walter","first_name":"Walter"}],"title":"Method to Identify Dependability Objectives in Multiobjective Optimization Problem","user_id":"55222","abstract":[{"text":"Intelligent mechatronic systems, such as self-optimizing systems, allow an adaptation of the system behavior at runtime based on the current situation. To do so, they generally select among several pre-defined working points. A common method to determine working points for a mechatronic system is to use model-based multiobjective optimization. It allows finding compromises among conflicting objectives, called objective functions, by adapting parameters. To evaluate the system behavior for different parameter sets, a model of the system behavior is included in the objective functions and is evaluated during each function call. Intelligent mechatronic systems also have the ability to adapt their behavior based on their current reliability, thus increasing their availability, or on changed safety requirements; all of which are summed up by the common term dependability. To allow this adaptation, dependability can be considered in multiobjective optimization by including dependability-related objective functions. However, whereas performance-related objective functions are easily found, formulation of dependability-related objective functions is highly system-specific and not intuitive, making it complex and error-prone. Since each mechatronic system is different, individual failure modes have to be taken into account, which need to be found using common methods such as Failure-Modes and Effects Analysis or Fault Tree Analysis. Using component degradation models, which again are specific to the system at hand, the main loading factors can be determined. By including these in the model of the system behavior, the relation between working point and dependability can be formulated as an objective function. In our work, this approach is presented in more detail. It is exemplified using an actively actuated single plate dry clutch system. Results show that this approach is suitable for formulating dependability-related objective functions and that these can be used to extend system lifetime by adapting system behavior.","lang":"eng"}]},{"abstract":[{"lang":"eng","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."}],"user_id":"55222","title":"Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle","quality_controlled":"1","author":[{"first_name":"Benjamin","full_name":"Klöpper, Benjamin","last_name":"Klöpper"},{"full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph","last_name":"Sondermann-Wölke"},{"full_name":"Romaus, Christoph","first_name":"Christoph","last_name":"Romaus"}],"keyword":["self-optimizing systems","dependability","probabilistic planning","energy management"],"department":[{"_id":"151"}],"publication":"Journal of Robotics and Mechatronics","status":"public","date_created":"2019-05-13T13:23:45Z","volume":24,"_id":"9786","date_updated":"2022-01-06T07:04:20Z","intvolume":" 24","issue":"1","language":[{"iso":"eng"}],"type":"journal_article","citation":{"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} }","mla":"Klöpper, Benjamin, et al. “Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle.” Journal of Robotics and Mechatronics, vol. 24, no. 1, 2012, pp. 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.” Journal of Robotics and Mechatronics 24, no. 1 (2012): 5–15.","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. Journal of Robotics and Mechatronics. 2012;24(1):5-15.","apa":"Klöpper, B., Sondermann-Wölke, C., & Romaus, C. (2012). Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle. Journal of Robotics and Mechatronics, 24(1), 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,” Journal of Robotics and Mechatronics, vol. 24, no. 1, pp. 5–15, 2012.","short":"B. Klöpper, C. Sondermann-Wölke, C. Romaus, Journal of Robotics and Mechatronics 24 (2012) 5–15."},"year":"2012","page":"5-15"},{"user_id":"55222","title":"Guideline for the dependability-oriented design of self-optimizing systems","abstract":[{"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.","lang":"eng"}],"status":"public","date_created":"2019-05-13T10:25:26Z","quality_controlled":"1","author":[{"last_name":"Sondermann-Wölke","full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph"},{"first_name":"Tobias","full_name":"Hemsel, Tobias","last_name":"Hemsel","id":"210"},{"first_name":"Walter","full_name":"Sextro, Walter","last_name":"Sextro","id":"21220"},{"last_name":"Gausemeier","first_name":"Jürgen","full_name":"Gausemeier, Jürgen"},{"first_name":"Sebastian","full_name":"Pook, Sebastian","last_name":"Pook"}],"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"],"department":[{"_id":"151"}],"publication":"Industrial Informatics (INDIN), 2010 8th IEEE International Conference on","doi":"10.1109/INDIN.2010.5549490","date_updated":"2022-01-06T07:04:19Z","_id":"9760","language":[{"iso":"eng"}],"citation":{"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.","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} }","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.","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","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","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."},"type":"conference","year":"2010","page":"739 -744"},{"user_id":"55222","title":"Integration of Condition Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance Module","abstract":[{"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, modifications of the ISO 17359 condition monitoring policy for being able to cope with this new kind of systems are presented. Besides avoiding critical situations evoked by self-optimization, the proposed concept uses self-optimization to increase the dependability of the system. This concept is applied to the active guidance module of an innovative rail-bound vehicle. First test drives provide information for the enhancement of the implementation of realtime switching to appropriate control strategies. The different control strategies are investigated in detail. It is illustrated that influences on the system like different track sections or the desired velocity of the RailCab effect the system and can lead to a higher amount of flange contacts, which indicate higher wear and thus a reduction of the availability of the system. Therefore, these influences should be minded within the condition monitoring policy. Consequently, this article presents the condition monitoring policy for self-optimizing function modules and its application to the active railway guidance module.","lang":"eng"}],"date_created":"2019-05-13T10:27:02Z","status":"public","volume":3,"department":[{"_id":"151"}],"publication":"International Journal On Advances in Intelligent Systems","keyword":["dependability","condition monitoring","selfoptimization","active railway guidance module"],"author":[{"last_name":"Sondermann-Wölke","first_name":"Christoph","full_name":"Sondermann-Wölke, Christoph"},{"last_name":"Sextro","id":"21220","first_name":"Walter","full_name":"Sextro, Walter"}],"quality_controlled":"1","issue":"1 - 3","date_updated":"2022-01-06T07:04:19Z","_id":"9761","intvolume":" 3","language":[{"iso":"eng"}],"page":"65 - 74","type":"journal_article","year":"2010","citation":{"chicago":"Sondermann-Wölke, Christoph, and Walter Sextro. “Integration of Condition Monitoring in Self-Optimizing Function Modules Applied to the Active Railway Guidance Module.” International Journal On Advances in Intelligent Systems 3, no. 1–3 (2010): 65–74.","ama":"Sondermann-Wölke C, Sextro W. Integration of Condition Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance Module. International Journal On Advances in Intelligent Systems. 2010;3(1-3):65-74.","apa":"Sondermann-Wölke, C., & Sextro, W. (2010). Integration of Condition Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance Module. International Journal On Advances in Intelligent Systems, 3(1–3), 65–74.","mla":"Sondermann-Wölke, Christoph, and Walter Sextro. “Integration of Condition Monitoring in Self-Optimizing Function Modules Applied to the Active Railway Guidance Module.” International Journal On Advances in Intelligent Systems, vol. 3, no. 1–3, 2010, pp. 65–74.","bibtex":"@article{Sondermann-Wölke_Sextro_2010, title={Integration of Condition Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance Module}, volume={3}, number={1–3}, journal={International Journal On Advances in Intelligent Systems}, author={Sondermann-Wölke, Christoph and Sextro, Walter}, year={2010}, pages={65–74} }","short":"C. Sondermann-Wölke, W. Sextro, International Journal On Advances in Intelligent Systems 3 (2010) 65–74.","ieee":"C. Sondermann-Wölke and W. Sextro, “Integration of Condition Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance Module,” International Journal On Advances in Intelligent Systems, vol. 3, no. 1–3, pp. 65–74, 2010."}},{"abstract":[{"text":"Recent advances in information processing enable new kinds of technical systems, called self-optimizing systems. These systems are able to adapt their objectives and their behavior according to the current situation and influences autonomously. This behavior adaptation is non-deterministic and hence self-optimization is a risk to the system, e.g. if the result of the self-optimization process does not match the suddenly changed situation. In contrary, self-optimization could be used to increase the dependability by pursuing objectives like reliability and availability. In our preceding publications we introduced the so called multi-level dependability concept to cope with this new kind of systems (cf. [6]). This concept comprises the monitoring of the system behavior, the classification of the current situation, and the selection of the appropriate measure, if reliability limits are exceeded. In this paper we present for the first time experimental results. The dependability concept is implemented in the self-optimizing active guidance system of a railway vehicle. The test drives illustrate clearly that the proposed concept is able to cope with, e.g., sensor failures, and is able to increase the reliability and availability of the active guidance module.","lang":"eng"}],"user_id":"55222","title":"Increasing the reliability of a self-optimizing railway guidance system","quality_controlled":"1","author":[{"full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph","last_name":"Sondermann-Wölke"},{"full_name":"Geisler, Jens","first_name":"Jens","last_name":"Geisler"},{"id":"21220","last_name":"Sextro","full_name":"Sextro, Walter","first_name":"Walter"}],"department":[{"_id":"151"}],"publication":"Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual","keyword":["availability","dependability concept","multilevel dependability concept","railway vehicle","reliability","self optimizing active guidance system","self optimizing railway guidance system","situation classification","system behavior monitoring","optimal control","railways","reliability theory","self-adjusting systems"],"status":"public","date_created":"2019-05-13T10:35:39Z","publication_identifier":{"issn":["0149-144X"]},"date_updated":"2022-01-06T07:04:19Z","_id":"9763","doi":"10.1109/RAMS.2010.5448080","language":[{"iso":"eng"}],"type":"conference","year":"2010","citation":{"mla":"Sondermann-Wölke, Christoph, et al. “Increasing the Reliability of a Self-Optimizing Railway Guidance System.” Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual, 2010, pp. 1–6, doi:10.1109/RAMS.2010.5448080.","bibtex":"@inproceedings{Sondermann-Wölke_Geisler_Sextro_2010, title={Increasing the reliability of a self-optimizing railway guidance system}, DOI={10.1109/RAMS.2010.5448080}, booktitle={Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual}, author={Sondermann-Wölke, Christoph and Geisler, Jens and Sextro, Walter}, year={2010}, pages={1–6} }","chicago":"Sondermann-Wölke, Christoph, Jens Geisler, and Walter Sextro. “Increasing the Reliability of a Self-Optimizing Railway Guidance System.” In Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual, 1–6, 2010. https://doi.org/10.1109/RAMS.2010.5448080.","apa":"Sondermann-Wölke, C., Geisler, J., & Sextro, W. (2010). Increasing the reliability of a self-optimizing railway guidance system. In Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual (pp. 1–6). https://doi.org/10.1109/RAMS.2010.5448080","ama":"Sondermann-Wölke C, Geisler J, Sextro W. Increasing the reliability of a self-optimizing railway guidance system. In: Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual. ; 2010:1-6. doi:10.1109/RAMS.2010.5448080","ieee":"C. Sondermann-Wölke, J. Geisler, and W. Sextro, “Increasing the reliability of a self-optimizing railway guidance system,” in Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual, 2010, pp. 1–6.","short":"C. Sondermann-Wölke, J. Geisler, W. Sextro, in: Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual, 2010, pp. 1–6."},"page":"1 -6"},{"doi":"10.1109/CICA.2009.4982790","_id":"9736","date_updated":"2022-01-06T07:04:19Z","citation":{"short":"B. Klöpper, C. Sondermann-Wölke, C. Romaus, H. Vöcking, in: Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium On, 2009, pp. 104–111.","ieee":"B. Klöpper, C. Sondermann-Wölke, C. Romaus, and H. Vöcking, “Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems,” in Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on, 2009, pp. 104–111.","chicago":"Klöpper, Benjamin, Christoph Sondermann-Wölke, Christoph Romaus, and Henner Vöcking. “Probabilistic Planning Integrated in a Multi-Level Dependability Concept for Mechatronic Systems.” In Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium On, 104–11, 2009. https://doi.org/10.1109/CICA.2009.4982790.","ama":"Klöpper B, Sondermann-Wölke C, Romaus C, Vöcking H. Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems. In: Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium On. ; 2009:104-111. doi:10.1109/CICA.2009.4982790","apa":"Klöpper, B., Sondermann-Wölke, C., Romaus, C., & Vöcking, H. (2009). Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems. In Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on (pp. 104–111). https://doi.org/10.1109/CICA.2009.4982790","bibtex":"@inproceedings{Klöpper_Sondermann-Wölke_Romaus_Vöcking_2009, title={Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems}, DOI={10.1109/CICA.2009.4982790}, booktitle={Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on}, author={Klöpper, Benjamin and Sondermann-Wölke, Christoph and Romaus, Christoph and Vöcking, Henner}, year={2009}, pages={104–111} }","mla":"Klöpper, Benjamin, et al. “Probabilistic Planning Integrated in a Multi-Level Dependability Concept for Mechatronic Systems.” Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium On, 2009, pp. 104–11, doi:10.1109/CICA.2009.4982790."},"type":"conference","year":"2009","page":"104 -111","language":[{"iso":"eng"}],"title":"Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems","user_id":"55222","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 self-optimizing mechatronic systems and shows how planning can be used to improve the availability and reliability of systems in the operating stages.","lang":"eng"}],"status":"public","date_created":"2019-05-13T09:03:57Z","quality_controlled":"1","author":[{"full_name":"Klöpper, Benjamin","first_name":"Benjamin","last_name":"Klöpper"},{"last_name":"Sondermann-Wölke","full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph"},{"last_name":"Romaus","full_name":"Romaus, Christoph","first_name":"Christoph"},{"last_name":"Vöcking","first_name":"Henner","full_name":"Vöcking, Henner"}],"publication":"Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on","keyword":["multilevel dependability concept","probabilistic planning","self-optimizing mechatronic systems","systems reliability","mechatronics","planning (artificial intelligence)","self-adjusting systems"],"department":[{"_id":"151"}]},{"abstract":[{"lang":"eng","text":"EN: Although the use of new actuator technologies is quite enthusiastic, the realization of innovative systems based on these principles fails because of doubts in dependability. Until now, new working principles for actuators have not been systematically investigated in the means of dependability. Therefore we developed a proceeding for a dependability-oriented evaluation of technologies. This is shown in the case of shape memory alloy actuators. \r\nDE: Die Realisierung von Systemen mittels innovativer Aktortechnologien scheitert oftmals an der Skepsis gegenüber der Verlässlichkeit (Vertrauen in die zuverlässige und sichere Funktionalität der Technologie). Diese liegt darin begründet, dass neue Aktortechnologien bzw. die Integration von innovativen physikalischen Wirkprinzipen innerhalb neuer Aktorkonzepte bisher noch nicht systematisch im Kontext der Verlässlichkeit untersucht werden. Daher haben wir ein Vorgehen zur verlässlichkeitsorientierten Technologiebewertung entwickelt. Neben der detaillierten Darstellung des Vorgehensmodells wird es exemplarisch anhand von Formgedächtnislegierungen zur Entwicklung innovativer Antriebslösungen angewendet."}],"user_id":"55222","title":"Verlässlichkeitorientierte Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen","publication":"2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und adaptronischer Systeme: Absicherung der Systemzuverlässigkeit, Koblenz","department":[{"_id":"151"}],"keyword":["EN: Dependability","Reliability","Evaluation of Technology","Actuators","Shape Memory Alloys DE: Verl{\\"],"author":[{"first_name":"Thomas","full_name":"Müller, Thomas","last_name":"Müller"},{"first_name":"Florian","full_name":"Schiedeck, Florian","last_name":"Schiedeck"},{"id":"210","last_name":"Hemsel","full_name":"Hemsel, Tobias","first_name":"Tobias"}],"date_created":"2019-04-29T11:57:41Z","status":"public","date_updated":"2022-01-06T07:04:16Z","_id":"9570","language":[{"iso":"eng"}],"year":"2008","citation":{"chicago":"Müller, Thomas, Florian Schiedeck, and Tobias Hemsel. “Verlässlichkeitorientierte Technologiebewertung Innovativer Aktortechnologien Am Beispiel von Formgedächtnislegierungen.” In 2. Tagung Des DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer Systeme: Absicherung Der Systemzuverlässigkeit, Koblenz, 2008.","apa":"Müller, T., Schiedeck, F., & Hemsel, T. (2008). Verlässlichkeitorientierte Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen. In 2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und adaptronischer Systeme: Absicherung der Systemzuverlässigkeit, Koblenz.","ama":"Müller T, Schiedeck F, Hemsel T. Verlässlichkeitorientierte Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen. In: 2. Tagung Des DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer Systeme: Absicherung Der Systemzuverlässigkeit, Koblenz. ; 2008.","bibtex":"@inproceedings{Müller_Schiedeck_Hemsel_2008, title={Verlässlichkeitorientierte Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen}, booktitle={2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und adaptronischer Systeme: Absicherung der Systemzuverlässigkeit, Koblenz}, author={Müller, Thomas and Schiedeck, Florian and Hemsel, Tobias}, year={2008} }","mla":"Müller, Thomas, et al. “Verlässlichkeitorientierte Technologiebewertung Innovativer Aktortechnologien Am Beispiel von Formgedächtnislegierungen.” 2. Tagung Des DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer Systeme: Absicherung Der Systemzuverlässigkeit, Koblenz, 2008.","short":"T. Müller, F. Schiedeck, T. Hemsel, in: 2. Tagung Des DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer Systeme: Absicherung Der Systemzuverlässigkeit, Koblenz, 2008.","ieee":"T. Müller, F. Schiedeck, and T. Hemsel, “Verlässlichkeitorientierte Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen,” in 2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und adaptronischer Systeme: Absicherung der Systemzuverlässigkeit, Koblenz, 2008."},"type":"conference"}]