Paper Info
Title
Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor.
Abstract
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.
Year
DOI
Venue
2018
10.1155/2018/8642708
JOURNAL OF SENSORS
Field
DocType
Volume
Least squares,Overdetermined system,Least squares support vector machine,Control theory,Electronic engineering,Fourier series,Accuracy and precision,Engineering,Aperiodic graph,Periodic graph (geometry),Observational error
Journal
2018
ISSN
Citations 
PageRank 
1687-725X
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Guimei Wang101.01
Tao Chu200.34
Lijie Yang3143.94
Fang Sun412.74