Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor
Joint Authors
Wang, Guimei
Chu, Tao
Yang, Lijie
Sun, Fang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A flow sensor is designed based on resistance-type differential pressure flow (RDPF) method, and the flow data is measured during a coal gangue paste-filling process.
The measurement error characteristics of a RDPF sensor are analyzed.
Periodic and aperiodic errors are then modeled separately.
The model for the periodic error is established by Fourier series approximation using least squares solution of an overdetermined equation to solve for the model parameters.
The model for the aperiodic error is established using an online least squares support vector machine (LS-SVM) method.
The cross-validation is used to solve model parameters.
Simulations and experiments show that the dynamic measurement accuracy of the sensor is greatly improved by error compensation, thereby reducing filling material waste and improving the economic efficiency.
American Psychological Association (APA)
Wang, Guimei& Chu, Tao& Yang, Lijie& Sun, Fang. 2018. Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor. Journal of Sensors،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1202218
Modern Language Association (MLA)
Wang, Guimei…[et al.]. Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor. Journal of Sensors No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1202218
American Medical Association (AMA)
Wang, Guimei& Chu, Tao& Yang, Lijie& Sun, Fang. Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1202218
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202218