A Wiener-process-inspired semi-stochastic filtering approach for prognostics

Author:

Xiaosheng Si,Li Huiqin,Zhang ZhengxinORCID,Li NaipengORCID

Funder

University of Science and Technology Beijing

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference41 articles.

1. A comparison study of centralized and decentralized federated learning approaches utilizing the transformer architecture for estimating remaining useful life;Kamei;Reliab Eng Syst Safe,2023

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3. Data-driven remaining useful life prognosis techniques: stochastic models, methods and applications;Si,2017

4. Prognostics and Health Management (PHM): where are we and where do we (need to) go in theory and practice;Zio;Reliab Eng Syst Safe,2022

5. A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines;Nguyen;Artif Intell Rev,2022

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