Using PoF models to predict system reliability considering failure collaboration

Z. Zeng (1) , Rui Kang (2) , Yunxia Chen (2)

1 LGI - Laboratoire Génie Industriel - EA 2606
2 School of Reliability and Systems Engineering [Beijing]

Existing Physics-of-Failure-based (PoF-based) system reliability prediction methods are grounded on the independence assumption, which overlooks the dependency among the components. In this paper, a new type of dependency, referred to as failure collaboration, is introduced and considered in reliability predictions. A PoF-based model is developed to describe the failure behavior of systems subject to failure collaboration. Based on the developed model, the Bisection-based Reliability Analysis Method (BRAM) is exploited to calculate the system reliability. The developed methods are applied to predicting the reliability of a Hydraulic Servo Actuator (HSA). The results demonstrate that the developed methods outperform the traditional PoF-based reliability prediction methods when applied to systems subject to failure collaboration.

Mots clés: Dependency; Failure collaboration; Physics-of-failure; Reliability modeling; Reliability prediction

Domaines: Sciences de l'ingénieur [physics]

Z. Zeng, Rui Kang, Yunxia Chen. Using PoF models to predict system reliability considering failure collaboration. Chinese Journal of Aeronautics, 2016, 29 (5), pp.1294-1301. ⟨10.1016/j.cja.2016.08.014⟩. ⟨hal-02447687⟩