{"_id":"9987","title":"A particle filtering approach for temperature based prognostics","citation":{"ama":"Bender A, Sextro W. A particle filtering approach for temperature based prognostics. In: <i>Safety and Reliability – Safe Societies in a Changing World</i>. Trondheim, Norway; 2018:1025-1033.","bibtex":"@inproceedings{Bender_Sextro_2018, place={Trondheim, Norway}, title={A particle filtering approach for temperature based prognostics}, booktitle={Safety and Reliability – Safe Societies in a Changing World}, author={Bender, Amelie and Sextro, Walter}, year={2018}, pages={1025–1033} }","mla":"Bender, Amelie, and Walter Sextro. “A Particle Filtering Approach for Temperature Based Prognostics.” <i>Safety and Reliability – Safe Societies in a Changing World</i>, 2018, pp. 1025–33.","ieee":"A. Bender and W. Sextro, “A particle filtering approach for temperature based prognostics,” in <i>Safety and Reliability – Safe Societies in a Changing World</i>, 2018, pp. 1025–1033.","chicago":"Bender, Amelie, and Walter Sextro. “A Particle Filtering Approach for Temperature Based Prognostics.” In <i>Safety and Reliability – Safe Societies in a Changing World</i>, 1025–33. Trondheim, Norway, 2018.","apa":"Bender, A., &#38; Sextro, W. (2018). A particle filtering approach for temperature based prognostics. In <i>Safety and Reliability – Safe Societies in a Changing World</i> (pp. 1025–1033). Trondheim, Norway.","short":"A. Bender, W. Sextro, in: Safety and Reliability – Safe Societies in a Changing World, Trondheim, Norway, 2018, pp. 1025–1033."},"year":"2018","page":"1025-1033","publication":"Safety and Reliability – Safe Societies in a Changing World","user_id":"55222","author":[{"last_name":"Bender","full_name":"Bender, Amelie","id":"54290","first_name":"Amelie"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"}],"status":"public","department":[{"_id":"151"}],"place":"Trondheim, Norway","language":[{"iso":"eng"}],"abstract":[{"text":"Rubber-metal-elements are used in a wide range of applications for vibration and sound isola- tion. Nowadays it is state of the art to calculate the lifetimes of these elements under mechanical stress prior to their service life. To establish more reliable and safer rubber-metal-elements, continuous monitoring by dif- ferent sensors can be used. Especially prognostics enable a rise in reliability, availability and safety. To estab- lish these advantages, estimating the remaining useful lifetime of rubber-metal-elements should be realized during its service life based on current information on its condition. Therefore a suitable measure to monitor the condition of the element is necessary. This work focuses on temperature signals. This approach allows in- cluding the ambient temperature and thereby involving changing operating conditions. For estimating the RUL of rubber-metal-elements a model-based prognostics approach based on particle filtering is proposed. Its performance is analyzed regarding relevant parameters to enable the best performance for the applied data.","lang":"eng"}],"quality_controlled":"1","date_updated":"2019-09-30T08:01:18Z","date_created":"2019-05-27T09:56:44Z","type":"conference"}