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Journal of Sensors
Volume 2018, Article ID 8642708, 7 pages
Research Article

Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor

College of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China

Correspondence should be addressed to Lijie Yang; moc.361@552eijilgnay

Received 15 October 2017; Revised 5 January 2018; Accepted 23 January 2018; Published 29 April 2018

Academic Editor: Zongyao Sha

Copyright © 2018 Guimei Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.