[{"date_created":"2019-05-27T09:37:46Z","type":"journal_article","keyword":["Integrated model","reliability","system behavior","Bayesian network","multiobjective optimization"],"department":[{"_id":"151"}],"publication":"SAGE Journals","citation":{"short":"T. Kaul, T. Meyer, W. Sextro, SAGE Journals Vol. 231(4) (2017) 390–399.","chicago":"Kaul, Thorben, Tobias Meyer, and Walter Sextro. “Formulation of Reliability-Related Objective Functions for Design of Intelligent Mechatronic Systems.” <i>SAGE Journals</i> Vol. 231(4) (2017): 390–99. <a href=\"https://doi.org/10.1177/1748006X17709376\">https://doi.org/10.1177/1748006X17709376</a>.","ieee":"T. Kaul, T. Meyer, and W. Sextro, “Formulation of reliability-related objective functions for design of intelligent mechatronic systems,” <i>SAGE Journals</i>, vol. Vol. 231(4), pp. 390–399, 2017.","apa":"Kaul, T., Meyer, T., &#38; Sextro, W. (2017). Formulation of reliability-related objective functions for design of intelligent mechatronic systems. <i>SAGE Journals</i>, <i>Vol. 231(4)</i>, 390–399. <a href=\"https://doi.org/10.1177/1748006X17709376\">https://doi.org/10.1177/1748006X17709376</a>","bibtex":"@article{Kaul_Meyer_Sextro_2017, title={Formulation of reliability-related objective functions for design of intelligent mechatronic systems}, volume={Vol. 231(4)}, DOI={<a href=\"https://doi.org/10.1177/1748006X17709376\">10.1177/1748006X17709376</a>}, journal={SAGE Journals}, author={Kaul, Thorben and Meyer, Tobias and Sextro, Walter}, year={2017}, pages={390–399} }","ama":"Kaul T, Meyer T, Sextro W. Formulation of reliability-related objective functions for design of intelligent mechatronic systems. <i>SAGE Journals</i>. 2017;Vol. 231(4):390-399. doi:<a href=\"https://doi.org/10.1177/1748006X17709376\">10.1177/1748006X17709376</a>","mla":"Kaul, Thorben, et al. “Formulation of Reliability-Related Objective Functions for Design of Intelligent Mechatronic Systems.” <i>SAGE Journals</i>, vol. Vol. 231(4), 2017, pp. 390–99, doi:<a href=\"https://doi.org/10.1177/1748006X17709376\">10.1177/1748006X17709376</a>."},"abstract":[{"text":"State-of-the-art mechatronic systems offer inherent intelligence that enables them to autonomously adapt their behavior to current environmental conditions and to their own system state. This autonomous behavior adaptation is made possible by software in combination with complex sensor and actuator systems and by sophisticated information processing, all of which make these systems increasingly complex. This increasing complexity makes the design process a challenging task and brings new complex possibilities for operation and maintenance. However, with the risk of increased system complexity also comes the chance to adapt system behavior based on current reliability, which in turn increases reliability. The development of such an adaption strategy requires appropriate methods to evaluate reliability based on currently selected system behavior. A common approach to implement such adaptivity is to base system behavior on different working points that are obtained using multiobjective optimization. During operation, selection among these allows a changed operating strategy. To allow for multiobjective optimization, an accurate system model including system reliability is required. This model is repeatedly evaluated by the optimization algorithm. At present, modeling of system reliability and synchronization of the models of behavior and reliability is a laborious manual task and thus very error-prone. Since system behavior is crucial for system reliability, an integrated model is introduced that integrates system behavior and system reliability. The proposed approach is used to formulate reliability-related objective functions for a clutch test rig that are used to compute feasible working points using multiobjective optimization.","lang":"eng"}],"quality_controlled":"1","page":"390 - 399","language":[{"iso":"eng"}],"_id":"9976","user_id":"55222","doi":"10.1177/1748006X17709376","volume":"Vol. 231(4)","year":"2017","title":"Formulation of reliability-related objective functions for design of intelligent mechatronic systems","status":"public","author":[{"last_name":"Kaul","first_name":"Thorben","full_name":"Kaul, Thorben","id":"14802"},{"first_name":"Tobias","last_name":"Meyer","full_name":"Meyer, Tobias"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"date_updated":"2019-09-16T10:20:49Z"},{"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"}],"quality_controlled":"1","citation":{"short":"C. Sondermann-Wölke, J. Geisler, W. Sextro, in: Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual, 2010, pp. 1–6.","chicago":"Sondermann-Wölke, Christoph, Jens Geisler, and Walter Sextro. “Increasing the Reliability of a Self-Optimizing Railway Guidance System.” In <i>Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i>, 1–6, 2010. <a href=\"https://doi.org/10.1109/RAMS.2010.5448080\">https://doi.org/10.1109/RAMS.2010.5448080</a>.","apa":"Sondermann-Wölke, C., Geisler, J., &#38; Sextro, W. (2010). Increasing the reliability of a self-optimizing railway guidance system. In <i>Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i> (pp. 1–6). <a href=\"https://doi.org/10.1109/RAMS.2010.5448080\">https://doi.org/10.1109/RAMS.2010.5448080</a>","ieee":"C. Sondermann-Wölke, J. Geisler, and W. Sextro, “Increasing the reliability of a self-optimizing railway guidance system,” in <i>Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i>, 2010, pp. 1–6.","ama":"Sondermann-Wölke C, Geisler J, Sextro W. Increasing the reliability of a self-optimizing railway guidance system. In: <i>Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i>. ; 2010:1-6. doi:<a href=\"https://doi.org/10.1109/RAMS.2010.5448080\">10.1109/RAMS.2010.5448080</a>","bibtex":"@inproceedings{Sondermann-Wölke_Geisler_Sextro_2010, title={Increasing the reliability of a self-optimizing railway guidance system}, DOI={<a href=\"https://doi.org/10.1109/RAMS.2010.5448080\">10.1109/RAMS.2010.5448080</a>}, booktitle={Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual}, author={Sondermann-Wölke, Christoph and Geisler, Jens and Sextro, Walter}, year={2010}, pages={1–6} }","mla":"Sondermann-Wölke, Christoph, et al. “Increasing the Reliability of a Self-Optimizing Railway Guidance System.” <i>Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i>, 2010, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/RAMS.2010.5448080\">10.1109/RAMS.2010.5448080</a>."},"publication":"Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual","department":[{"_id":"151"}],"type":"conference","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"],"date_created":"2019-05-13T10:35:39Z","date_updated":"2022-01-06T07:04:19Z","author":[{"last_name":"Sondermann-Wölke","first_name":"Christoph","full_name":"Sondermann-Wölke, Christoph"},{"full_name":"Geisler, Jens","first_name":"Jens","last_name":"Geisler"},{"id":"21220","last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter"}],"publication_identifier":{"issn":["0149-144X"]},"title":"Increasing the reliability of a self-optimizing railway guidance system","year":"2010","status":"public","user_id":"55222","doi":"10.1109/RAMS.2010.5448080","language":[{"iso":"eng"}],"_id":"9763","page":"1 -6"}]