To improve the computing accuracy and efficiency of system reliability evaluation for
aeroengine cooling blades, by fusing the benefits of multivariate ensembles model (ME) into …

Reliability evaluation of aeroengine rotor systems is often characterized by multiple
correlated frail sites and multiple coupled failure modes, leading to the traditional integral …

Fatigue fracture of welded joints is an important cause for engineering accidents. Due to the
coexistence of so many influencing factors, the current prediction model of fatigue behavior …

To improve the computational efficiency and accuracy of dynamic multi-component system
reliability analysis involving complex characteristics like dynamic traits, high-nonlinearity …

Since various mechanical components could undergo cyclic loadings in their operations,
fatigue evaluation of the parts is a crucial issue. In this context, different experimental …

Deep learning is a widely used tool for multiaxial fatigue life prediction. However, neural
network still needs to solve various problems in the solution dominated by physical …

For complex systems involving multiple operating conditions and multiple failure modes, its
reliability analysis usually presents the cascade failure correlation between multiple levels …

Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, map** and surveying …

A new framework for creep-fatigue reliability assessment of high-temperature components is
proposed in this paper, during which the monitoring data and physics-of-failure are …

For the fatigue reliability analysis of aeroengine blade-disc systems, the traditional direct
integral modelling methods or separate independent modelling methods will lead to low …