Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6956010 | Mechanical Systems and Signal Processing | 2015 | 15 Pages |
Abstract
In this paper, we present the second-order of cyclostationarity to detect and diagnose the fatigue damage of the stainless steel 316l subjected to low cycle fatigue (LCF). LCF is defined by repetitive cycling in a low stress and a short period. The vibration response of material subjected to LCF provides information linked to the solicitation and to the fatigue damage. Thus, we considered a cantilever beam with breathing cracks and assumed that under the solicitation, breathing cracks generates non-linearity in the stiffness of the material and this one decreases with the damage. We used the second-order of the cyclostationarity to reveal this non-linearity and showed that the fatigue provide a random component in the signal, which increases with the fatigue damage. Thus, in the specific case of a material subjected to LCF, with a non-linear stiffness, we propose a new methodology to detect and diagnose the fatigue damage using a vibration signal. This methodology is based on the second order of the cyclostationarity.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
D. Boungou, F. Guillet, M. El Badaoui, P. Lyonnet, T. Rosario,