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A comparative study of various shaped electrostatic sensors for rotational speed measurement

Reda, Kamel, Yan, Yong, Wang, Lijuan (2017) A comparative study of various shaped electrostatic sensors for rotational speed measurement. In: UNSPECIFIED. (doi:10.1109/ICSENS.2017.8234149) (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) (KAR id:77845)

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/ICSENS.2017.8234149

Abstract

Electrostatic sensors have been successfully used in the field of particle flow measurement due to the advantages of simple structure, robustness and low cost. Recently, advances have been made in developing electrostatic sensing techniques for rotational speed measurement. The geometric shape and size of the electrodes have significant effects on the performance of electrostatic sensors in terms of spatial sensitivity and temporal frequency response. This paper focuses on the theoretical analysis and experimental assessment of strip and butterfly shaped electrodes for rotational speed measurement of a metallic shaft. Spatial sensitivity and filtering effect of the sensors are investigated through mathematical and computational modelling. Analytical and experimental results suggest that the butterfly shaped sensor outperforms the strip sensor in terms of spatial sensitivity, power spectral density and signal bandwidth.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICSENS.2017.8234149
Uncontrolled keywords: electrostatic sensors, rotational speed, spatial sensitivity, filtering effect
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Lijuan Wang
Date Deposited: 25 Oct 2019 16:20 UTC
Last Modified: 04 Mar 2024 16:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77845 (The current URI for this page, for reference purposes)

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