Rotational Speed Measurement Through Electrostatic Sensing and Correlation Signal Processing

Wang, Lijuan and Yan, Yong and Hu, Yonghui and Qian, Xiangchen (2014) Rotational Speed Measurement Through Electrostatic Sensing and Correlation Signal Processing. IEEE Transactions on Instrumentation and Measurement, 63 (5). pp. 1190-1199. ISSN 0018-9456. (doi:https://doi.org/10.1109/TIM.2013.2292283) (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)

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Official URL
http://dx.doi.org/10.1109/TIM.2013.2292283

Abstract

Rotational speed is a key parameter for the condition monitoring and control of rotating machineries, such as generators, electromotors, and centrifugal and machine tool spindles. It is essential for precision machining and early warning of faults to measure rotational speed in real time. This paper presents the principle and application of electrostatic sensors and correlation signal processing techniques to real-time measurement of rotational speed. The electrostatic sensors and signal conditioning and processing units were designed and implemented. Experimental tests were conducted on a laboratory-scale test rig under a range of conditions including different diameters of the shaft. The results obtained suggest that the distance between the electrodes and the surface of the rotating object is a key factor affecting the performance of the measurement system. The system performs better in terms of accuracy and repeatability at a higher rotational speed as more electrostatic charge is produced on the rotating surface. High and stable correlation coefficients acquired during the tests suggest that the measurement system is capable of providing reliable measurement of rotational speed under realistic industrial conditions.

Item Type: Article
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: 25 Apr 2014 14:57 UTC
Last Modified: 16 Jul 2014 08:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/40852 (The current URI for this page, for reference purposes)
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