Rebooting data-driven soft-sensors in process industries: A review of kernel methods
•Kernel learning is investigated for data pre-processing, sample selection, variable selection.•Online, multi-output, small-data, multi-step and semi-supervised soft-sensors are investigated.•Soft-sensors to achieve fault diagnosis and advanced control of process industries are discussed.•Potential...
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Published in | Journal of process control Vol. 89; pp. 58 - 73 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.05.2020
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Subjects | |
Online Access | Get full text |
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