Approximate Gaussian Process Regression with Sparse Functional Learning of Inducing Points for Components Condition Monitoring
We develop a novel method aimed at estimating the relationship between a drifting process parameter and some operational variables of a component under fault. The method is to be used for condition monitoring and tracking, and it is based on Gaussian Process (GP) models, which are widely used Bayesi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2013-07-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/6359 |