Similarity-Based Remaining Useful Lifetime Prediction Method Considering Epistemic Uncertainty
Author:
Affiliation:
1. University of Chinese Academy of Sciences, Beijing 101408, China
2. Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
3. The Key Laboratory of Space Utilization, Beijing 10094, China
Abstract
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/23/23/9535/pdf
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4. A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction;Liao;Appl. Soft Comput.,2016
5. A data-driven auto-CNN-LSTM prediction model for lithium-ion battery remaining useful life;Ren;IEEE Trans. Ind. Inform.,2020
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