Skip to Main content Skip to Navigation
Conference papers

Establishing a Wear-Related Deterioration Model Based on Experimental Data

Abstract : System modeling with respect to reliability function is of increasing importance, since knowledge about reliability function enables its integration in control affecting the control strategies. Suitable operating strategies will lead not only to extended lifetime, but also give a possibility for predictive maintenance. The assessment of reliability function relies often on probabilistic theory. From probabilistic point of view it consequently involves mathematical assumptions, but physically mainly relies on knowledge about systemÕs state-of-deterioration. This implies that statements about the state-of-deterioration, about predictive maintenance, as well as the ability to control the systemÕs extended lifetime assume knowledge about the relation between systemÕs load (applied to the system), systemÕs stress (appearing within the system), and the resulting behavior of systems to the loads applied. This contribution establishes a parametric model from the experimental data generated from wear experiments, and compares the results to those results obtained for individual system generating data.
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download
Contributor : Anne Jaigu Connect in order to contact the contributor
Submitted on : Wednesday, July 9, 2014 - 8:41:53 AM
Last modification on : Tuesday, March 20, 2018 - 2:48:45 PM
Long-term archiving on: : Thursday, October 9, 2014 - 10:54:57 AM


Files produced by the author(s)


  • HAL Id : hal-01021048, version 1



Nejra Beganovic, Sandra Rothe, Dirk Söffker. Establishing a Wear-Related Deterioration Model Based on Experimental Data. EWSHM - 7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France. ⟨hal-01021048⟩



Record views


Files downloads