--- _id: '9791' abstract: - lang: eng text: 'The rapid development of communication and information technology opens up fascinating perspectives, which go far beyond the state of the art in mechatronics: mechatronic systems with inherent partial intelligence. These so called self-optimizing systems adapt their objectives and behavior autonomously and flexibly to changing operating conditions. On the one hand, securing the dependability of such systems is challenging due to their complexity and non-deterministic behavior. On the other hand, self-optimization can be used to increase the dependability of the system during its operation. However, it has to be ensured, that the self-optimization works dependable itself. To cope with these challenges, the multi-level dependability concept was developed. It enables predictive condition monitoring, influences the objectives of the system and determines suitable means to improve the system''s dependability during its operation. In this contribution we introduce a procedure for the conceptual design of an advanced condition monitoring based on the system''s principle solution. The principle solution describes the principal operation mode of the system and its desired behavior. It is modeled using the specification technique for the domain-spanning description of the principle solution of a self-optimizing system and consists of a coherent system of eight partial models (e.g. requirements, active structure, system of objectives, behavior, etc.). The partial models are analyzed separately in order to derive the components of the multi-level dependability concept. In particular, the reliability analysis of the partial model active structure is performed to identify the system elements to be monitored and parameters to be measured. The principle solution is extended accordingly: e.g. with system elements required for the realization of the dependability concept. The advantages of the method are shown on the self-optimizing guidance module of a railroad vehicle.' author: - first_name: Christoph full_name: Sondermann-Wölke , Christoph last_name: 'Sondermann-Wölke ' - first_name: Tobias full_name: Meyer, Tobias last_name: Meyer - first_name: Rafal full_name: Dorociak, Rafal last_name: Dorociak - first_name: Jürgen full_name: Gausemeier, Jürgen last_name: Gausemeier - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Sondermann-Wölke C, Meyer T, Dorociak R, Gausemeier J, Sextro W. Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution. In: Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012). Helsinki, Finland; 2012.' apa: Sondermann-Wölke , C., Meyer, T., Dorociak, R., Gausemeier, J., & Sextro, W. (2012). Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution. In Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012). Helsinki, Finland. bibtex: '@inproceedings{Sondermann-Wölke _Meyer_Dorociak_Gausemeier_Sextro_2012, place={Helsinki, Finland}, title={Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution}, booktitle={Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)}, author={Sondermann-Wölke , Christoph and Meyer, Tobias and Dorociak, Rafal and Gausemeier, Jürgen and Sextro, Walter}, year={2012} }' chicago: Sondermann-Wölke , Christoph, Tobias Meyer, Rafal Dorociak, Jürgen Gausemeier, and Walter Sextro. “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System Based on Its Principle Solution.” In Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012). Helsinki, Finland, 2012. ieee: C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, and W. Sextro, “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution,” in Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012), 2012. mla: Sondermann-Wölke , Christoph, et al. “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System Based on Its Principle Solution.” Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012), 2012. short: 'C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, W. Sextro, in: Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012), Helsinki, Finland, 2012.' date_created: 2019-05-13T13:41:34Z date_updated: 2022-01-06T07:04:20Z department: - _id: '151' keyword: - Mechatronic Systems - Principle Solution - Condition Monitoring - Conceptual Design language: - iso: eng place: Helsinki, Finland publication: Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012) quality_controlled: '1' status: public title: Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution type: conference user_id: '55222' year: '2012' ...