Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process

Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process

In prognostics and health management, multiple sensors have been widely used to monitor the health condition of complex machines. As each sensor provides partial and dependent information, data-level fusion techniques have been developed and aim at increasing the reliability and safety of machines b...

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Bibliographic Details
Main Authors: Chongdang Liu, Linxuan Zhang, Yuan Liao, Cheng Wu, Gongzhuang Peng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian inference
echo state networks
multi-objective optimization
prediction uncertainty
predictive intervals
remaining useful life
Online Access:https://ieeexplore.ieee.org/document/8750824/

Internet

https://ieeexplore.ieee.org/document/8750824/

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