Prediction of Lubrication Oil Parameter Degradation to Extend the Oil Change Interval Based on Gaussian Process Regression (GPR)
In this work, the degradation of selected lubrication oil parameters until the specified threshold is predicted based on Gaussian process regression (GPR) to extend the oil change interval. Kinematic viscosity (40°C) and total acid number (TAN) was selected based on Mahalanobis-Taguchi Gram-Schmidt...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Japanese Society of Tribologists
2022-07-01
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| Series: | Tribology Online |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/trol/17/3/17_135/_pdf/-char/en |