A Bayesian Data-Driven Framework for Aleatoric and Epistemic Uncertainty Quantification in Remaining Useful Life Predictions
Year: 2024
Type: article
Source: IEEE Sensors Journal
Authors: Mudi Jiang, Tianyang Xing, Enrico Zio, Xiaoliang Zhu
Institutions: Southeast University, Politecnico di Milano
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Funder: China Scholarship Council
Award: G5507223211
OpenAlex ID: W4403510155