Zhang, Wenbiao, Yan, Jing, Yan, Yong (2021) Measurement of the moisture content in woodchips through capacitive sensing and data driven modelling. Measurement Science and Technology, 186 . Article Number 110205. ISSN 0957-0233. E-ISSN 1361-6501. (doi:10.1016/j.measurement.2021.110205) (KAR id:90325)
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Official URL: https://doi.org/10.1016/j.measurement.2021.110205 |
Abstract
In this paper, a helical capacitive sensor is developed to measure the moisture content (MC) in woodchips. Firstly, based on the orthogonal test method, the structure of the capacitive sensor is optimized to obtain the best possible uniform sensitivity. Then, the effect of the type and random distribution of woodchips on the capacitive MC measurement is investigated. Finally, three different algorithms, including support vector machine, random forest and deep neural network, are employed to establish the data driven models. Experimental results demonstrate that the proposed system is capable of measuring the MC in woodchips with absolute error within ±5%. The generalization capability is verified using the cedarwood with three size ranges, with R2, RMSE and MAE of 0.95, 1.69% and 1.28%, respectively. The absolute error of the predicted MC in cedarwood over the range 24.3% and 25.2% is found to be within ±2% for a range of packing densities.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.measurement.2021.110205 |
Uncontrolled keywords: | Moisture content measurement, data driven modelling, helical capacitive sensor, finite element modelling, woodchips |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Yong Yan |
Date Deposited: | 24 Sep 2021 08:31 UTC |
Last Modified: | 28 Sep 2022 23:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/90325 (The current URI for this page, for reference purposes) |
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