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Improved Signal Processing Algorithm to Enhance the Performance of Electrostatic Sensors for Particle Velocity Measurement

  • Kamel Reda*
  • , Tao Wang
  • , Yong Yan
  • *此作品的通讯作者
  • Walsn Ltd.
  • University of Kent

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposes an improved cross-correlation signal processing algorithm for the velocity measurement of pneumatically conveyed solids using electrostatic sensors. The proposed algorithm increases the measurement accuracy in noisy environments and improves the dynamic response for real-time applications. The effectiveness of the proposed algorithm was evaluated through computer simulation and experimental tests.

源语言英语
主期刊名2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350303872
DOI
出版状态已出版 - 2023
已对外发布
活动2023 IEEE SENSORS, SENSORS 2023 - Vienna, 奥地利
期限: 29 10月 20231 11月 2023

出版系列

姓名Proceedings of IEEE Sensors
ISSN(印刷版)1930-0395
ISSN(电子版)2168-9229

会议

会议2023 IEEE SENSORS, SENSORS 2023
国家/地区奥地利
Vienna
时期29/10/231/11/23

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