Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis

Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Xiaoya Zhang

Abstract: Highlights•Proposing a learnable quantile polynomial chaos expansion method.•Constructing orthonormal basis for combination input random variables.•LQPCE model can quantify data uncertainty caused by noise.•Quantified data uncertainty is used for interval reliability analysis.