A low-error calibration function for an electrostatic gas-solid flow meter obtained via machine learning techniques with experimental data
In this paper, modeling and machine learning with experimental data and a novel calibration function for a gas-solid flow sensor fusion are presented. Sensor fusion is the use of software that intelligently combines data from multiple sensors in order to improve overall system performance. This tech...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-04-01
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| Series: | Energy and Built Environment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266612332030012X |