Wang, Xiaoyu, Hu, Yonghui, Qian, Xiangchen, Wang, Lijuan, Yan, Yong (2015) Non-contact strip speed measurement using an electrostatic sensor array and data fusion technique. In: 12th International Conference on Signal Processing (ICSP). . pp. 363-367. IEEE ISBN 978-1-4799-2188-1. E-ISBN 978-1-4799-2186-7. (doi:10.1109/ICOSP.2014.7015029) (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:77842)
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. | |
Official URL: http://dx.doi.org/10.1109/ICOSP.2014.7015029 |
Abstract
In the production and manufacturing industries, speed measurement plays a significant part in condition monitoring and motion control of mechanical machinery. During operation, the friction between the sliding part and the air generates electrostatic charge that can be used for measurement of the linear speed. This paper deals with non-contact measurement of strip speed using electrostatic sensing and cross correlation techniques. Experiments were carried out on a purpose-built test rig. Experimental results show that accurate measurement can be achieved over the range of 2 to 10 m/s. The system performs better for higher strip speed and shorter distance between the sensor array and the strip.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/ICOSP.2014.7015029 |
Uncontrolled keywords: | electrostatic sensor array, non-contact measurement, strip speed, cross-correlation, data fusion |
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 16:03 UTC |
Last Modified: | 05 Nov 2024 12:42 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/77842 (The current URI for this page, for reference purposes) |
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