A competing risk model for the reliability of cylinder liners in marine Diesel engines

Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

“…(7) describes the situation that if the observed degradation state by current inspection exceeds the soft failure threshold f D , we perform an immediate corrective replacement at the expected cost 2 …”

“…Nevertheless, even if independence is demonstrated to be appropriate for certain types of competing risks, e.g. [2,8,20,21], in many situations the dependent structure between the two failure modes is of importance and should not be neglected. We consider the dependence is described by the failure rate of the sudden failure, which is influenced by both the age and the degradation state of the system.…”

Reliability analysis of the products subject to competing failure processes with unbalanced data

“…Applications of such systems can also be found in the Space Shuttle computer complex, electric generator power systems, and so on. Bocchetti et al [5] proposed a competing risk model to access the reliability of the cylinder liners of a marine Diesel engine, and the two failure modes (wear and thermal crack) of cylinder liners were considered independent. Furthermore, in the practical engineering, the competing failure modes that each may have a different root cause can be considered independent.…”

Operation reliability analysis based on fuzzy support vector machine for aircraft engines

“…Su et al regarded the incidence of sudden failure as the function of performance degradation amount, made use of Wiener process to describe the degradation process, and proposed a reliability evaluation model for competing failures [23]. Bocchetti et al proposed a competing risk model to describe the reliability of the cylinder liners of a marine Diesel engine, in which the wear process is described by a stochastic process and the failure time due to the thermal cracking is described by the Weibull distribution [3]. Park et al [17] and Kundu et al [12] considered the analysis of incomplete data in the presence of competing risks among several groups.…”