Yun-Wen Feng

TL;DR: The developed surrogate model is called the improved Kriging (IK) algorithm with extremum response surface method (ERSM), or the IK-ERSM, which can better model the nonlinearity within the system and is demonstrated to be efficient and accurate in structural dynamic probabilistic analysis.

TL;DR: A surrogate model method, namely modified Kriging-based moving extremum framework (MKMEF), which holds high-efficiency and high-accuracy for the probabilistic analyses of turbine blisk radial running deformation and enrich mechanical reliability theory is developed.

TL;DR: The developed IDCKMS is superior to the other three methods in the precision and efficiency of modeling and simulation, from the model-fitting features and simulation performance perspectives.

TL;DR: The efforts of this paper provide a highly-efficient method for the RUL estimation of complex mechanical systems, which is promising to enhance the operation and maintenance of the mechanical system by reducing costs and improving Rul estimation precision.

TL;DR: In this article, a multi-extremum response surface method (MERSM) was developed for the probabilistic analysis of aeroengine turbine blisk with the coexistence of many failure modes by considering two-way fluid flow.