Remaining useful lifetime prediction based on adaptive failure thresholds

A. Bender, L. Schinke, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp. 1262–1269.

Download
No fulltext has been uploaded.
Conference Paper | Published | English
Editor
;
Abstract
Remaining useful lifetime (RUL) predictions as part of a condition monitoring system are focused in more and more research and industrial applications. To establish an efficient and precise estimate of the RUL of a technical product, different uncertainties have to be handled. To minimize the uncertainties of the RUL estimation, a reliable and accurate prognostic approach as well as a good failure threshold are important. Regarding the failure threshold, most often an expert sets a fixed failure threshold. However, neither the a priori known failure threshold nor a fixedthreshold value are feasible in every application. Especially in the case of varying characteristics of the monitored system, an adaptive failure threshold is of great importance concerning the accuracy of the RUL estimation. Rubber-metal-elements, which are used in a wide range of applications for vibration and sound isolation, are mon-itored by thermocouples to allow for lifetime predictions. Therefore, the element’s state is described by its temper-ature during its service life. Aiming to establish accurate RUL predictions of a rubber-metal-element, uncertainties due to nonlinear material characteristics and changing operational conditions have to be considered. Consequently, different temperature-based failure threshold definitions are implemented and compared within a particle filtering approach.
Publishing Year
Proceedings Title
Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)
Issue
29
Page
1262-1269
Conference
29th European Safety and Reliability Conference
Conference Location
Hannover
Conference Date
2019.09.22 – 2019.09.26
LibreCat-ID

Cite this

Bender A, Schinke L, Sextro W. Remaining useful lifetime prediction based on adaptive failure thresholds. In: Beer M, Zio E, eds. Proceedings of the 29th European Safety and Reliability Conference (ESREL2019). ; 2019:1262-1269.
Bender, A., Schinke, L., & Sextro, W. (2019). Remaining useful lifetime prediction based on adaptive failure thresholds. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) (pp. 1262–1269). Hannover.
@inproceedings{Bender_Schinke_Sextro_2019, title={Remaining useful lifetime prediction based on adaptive failure thresholds}, number={29}, booktitle={Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)}, author={Bender, Amelie and Schinke, Lennart and Sextro, Walter}, editor={Beer, Michael and Zio, EnricoEditors}, year={2019}, pages={1262–1269} }
Bender, Amelie, Lennart Schinke, and Walter Sextro. “Remaining Useful Lifetime Prediction Based on Adaptive Failure Thresholds.” In Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), edited by Michael Beer and Enrico Zio, 1262–69, 2019.
A. Bender, L. Schinke, and W. Sextro, “Remaining useful lifetime prediction based on adaptive failure thresholds,” in Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), Hannover, 2019, no. 29, pp. 1262–1269.
Bender, Amelie, et al. “Remaining Useful Lifetime Prediction Based on Adaptive Failure Thresholds.” Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), edited by Michael Beer and Enrico Zio, no. 29, 2019, pp. 1262–69.

Link(s) to Main File(s)
Access Level
Restricted Closed Access

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar
ISBN Search