Remaining useful life prediction based on nonlinear random coefficient regression model with fusing failure time data
Author:
Affiliation:
1. Rocket Force University of Engineering,Department of Mechanical Engineering,Xi'an,China,710025
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://xplorestaging.ieee.org/ielx7/5971804/10066212/10018315.pdf?arnumber=10018315
Reference44 articles.
1. A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
2. Joint modeling of degradation and failure time data
3. Machinery health prognostics: A systematic review from data acquisition to RUL prediction
4. A real-time prognostic method for the drift errors in the inertial navigation system by a nonlinear random-coefficient regression model
5. An Age- and State-Dependent Nonlinear Prognostic Model for Degrading Systems
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