[{"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."}],"status":"public","type":"dissertation","keyword":["dependability","reliability","behavior adaptation","self-optimization","multiobjective optimization","optimal control","automotive drivetrain","clutch system","reliability-adaptive system"],"language":[{"iso":"eng"}],"_id":"9994","user_id":"210","department":[{"_id":"151"}],"year":"2018","citation":{"apa":"Meyer, T. (2018). <i>Optimization-based reliability control of mechatronic systems</i>. Shaker.","short":"T. Meyer, 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. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>. Shaker, 2018.","ama":"Meyer T. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>. Shaker; 2018.","ieee":"T. Meyer, <i>Optimization-based reliability control of mechatronic systems</i>. Shaker, 2018.","chicago":"Meyer, Tobias. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>. Shaker, 2018."},"title":"Optimization-based reliability control of mechatronic systems","publisher":"Shaker","date_updated":"2023-09-15T12:26:09Z","date_created":"2019-05-27T10:21:17Z","author":[{"first_name":"Tobias","full_name":"Meyer, Tobias","last_name":"Meyer"}]},{"_id":"9885","user_id":"55222","department":[{"_id":"151"}],"keyword":["Self-optimization","multiobjective optimization","objective function","dependability","intelligent system","behavior adaptation"],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence","abstract":[{"lang":"eng","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."}],"status":"public","date_updated":"2019-09-16T10:22:04Z","author":[{"first_name":"Tobias","last_name":"Meyer ","full_name":"Meyer , Tobias"},{"full_name":"Sondermann-Wölke, Christoph","last_name":"Sondermann-Wölke","first_name":"Christoph"},{"first_name":"Walter","id":"21220","full_name":"Sextro, Walter","last_name":"Sextro"}],"date_created":"2019-05-20T13:19:37Z","volume":15,"title":"Method to Identify Dependability Objectives in Multiobjective Optimization Problem","doi":"10.1016/j.protcy.2014.09.033","quality_controlled":"1","year":"2014","citation":{"ieee":"T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability Objectives in Multiobjective Optimization Problem,” <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>, vol. 15, pp. 46–53, 2014.","chicago":"Meyer , Tobias, Christoph Sondermann-Wölke, and Walter Sextro. “Method to Identify Dependability Objectives in Multiobjective Optimization Problem.” <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i> 15 (2014): 46–53. <a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">https://doi.org/10.1016/j.protcy.2014.09.033</a>.","ama":"Meyer  T, Sondermann-Wölke C, Sextro W. Method to Identify Dependability Objectives in Multiobjective Optimization Problem. <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>. 2014;15:46-53. doi:<a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">10.1016/j.protcy.2014.09.033</a>","apa":"Meyer , T., Sondermann-Wölke, C., &#38; Sextro, W. (2014). Method to Identify Dependability Objectives in Multiobjective Optimization Problem. <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>, <i>15</i>, 46–53. <a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">https://doi.org/10.1016/j.protcy.2014.09.033</a>","mla":"Meyer , Tobias, et al. “Method to Identify Dependability Objectives in Multiobjective Optimization Problem.” <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>, vol. 15, 2014, pp. 46–53, doi:<a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">10.1016/j.protcy.2014.09.033</a>.","bibtex":"@article{Meyer _Sondermann-Wölke_Sextro_2014, title={Method to Identify Dependability Objectives in Multiobjective Optimization Problem}, volume={15}, DOI={<a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">10.1016/j.protcy.2014.09.033</a>}, 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} }","short":"T. Meyer , C. Sondermann-Wölke, W. Sextro, Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence 15 (2014) 46–53."},"page":"46-53","intvolume":"        15"}]