{"publication":"Safety and Reliability – Safe Societies in a Changing World","date_updated":"2019-09-30T08:01:18Z","type":"conference","page":"1025-1033","language":[{"iso":"eng"}],"department":[{"_id":"151"}],"_id":"9987","title":"A particle filtering approach for temperature based prognostics","date_created":"2019-05-27T09:56:44Z","citation":{"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.","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} }","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.","short":"A. Bender, W. Sextro, in: Safety and Reliability – Safe Societies in a Changing World, Trondheim, Norway, 2018, pp. 1025–1033.","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."},"user_id":"55222","place":"Trondheim, Norway","year":"2018","status":"public","author":[{"first_name":"Amelie","full_name":"Bender, Amelie","id":"54290","last_name":"Bender"},{"full_name":"Sextro, Walter","last_name":"Sextro","id":"21220","first_name":"Walter"}],"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"}