Parameters selection in the cross-correlation based velocimetry using electrostatic sensors

Zhang, Wenbiao, Wang, CM, Li, Liang, Zhang, Tao, Yan, Yong, Shao, Jiaqing, Yin, Wuliang (2009) Parameters selection in the cross-correlation based velocimetry using electrostatic sensors. In: Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE. Proceedings of IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2009). . pp. 134-138. IEEE ISBN 978-1-4244-3352-0. (doi:10.1109/IMTC.2009.5168430) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/IMTC.2009.5168430

Abstract

Cross-correlation methods in combination with electrostatic sensing technology offer a promising solution to the on-line continuous measurement of velocity of particulate solids in pneumatic pipelines. The sampling frequency and integral time are two fundamental parameters in cross-correlation calculation. This paper describes the principles and steps of the selection of these two parameters. The measurement error of the transit time and the real application requirement are taken into account. Additionally, an experimental platform was built and the principles in selecting the parameters in the electrostatic correlation based velocity measurement were proven.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/IMTC.2009.5168430
Uncontrolled keywords: cross-correlation ; electrostatic sensor ; gas-solid flow ; velocimetry
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 12 Dec 2014 15:36 UTC
Last Modified: 29 May 2019 13:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/46013 (The current URI for this page, for reference purposes)
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