Statistical inference through AFT model for biotechnical systems |
| |
Authors: | Vincent Couallier Laurent Denis Vilijandas Bagdonavi?ius Mikhail Nikulin Léo Gerville-Réache |
| |
Institution: | 1. IMB UMR CNRS 5251, University Victor Segalen Bordeaux, 2 Bordeaux, France;2. StatXpert Company, Bordeaux, France;3. University of Vilnius, Vilnius, Lithuania |
| |
Abstract: | The objective of this paper is to model the phenomenon of degradation-to-failure for assemblies used for lumbar arthrodesis, starting from the analysis of their structure/geometry, the load applied and the kind of failure when several occur. An AFT model is proposed to model the joint effects of the applied load and the structural dimensions of the brand (namely length and diameter of the screw, presence of a connector or not) on the failure time due to a screw failure. The estimations of S–N curves and maximum permissible load (named critical load) values are provided as functions of the structural dimensions of the product. This allows comparisons of devices in terms of key factors determining product behavior and ageing under loading stress. |
| |
Keywords: | Accelerated life testing Weibull distribution Maximum likelihood estimation SNP curves Critical load Fatigue limit |
本文献已被 ScienceDirect 等数据库收录! |
|