Remaining useful life prediction for complex systems with multiple indicators of stochastic correlation considering random shocks-Reference-Cited by-同舟云学术

Remaining useful life prediction for complex systems with multiple indicators of stochastic correlation considering random shocks

Published:2023-12 Issue: Volume:204 Page:110767
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wu Bin,Shi Hui^ORCID,Zeng Jianchao,Zhang Xiaohong,Wang Zuolu

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference54 articles.

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2. Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods;Ferreira;J. Manuf. Syst.,2022

3. Multi-sensor information fusion-based prediction of remaining useful life of nonlinear Wiener process;Wu;Meas. Sci. Technol.,2022

4. Remaining useful life prediction of IIoT-enabled complex industrial systems with hybrid fusion of multiple information sources;Wen;IEEE Internet Things J.,2021

5. Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data[J];Pan;Mech. Syst. Sig. Process.,2023

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