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Instantaneous Rotational Speed Measurement Using Image Correlation and Periodicity Determination Algorithms

Wang, Tianyu, Yan, Yong, Wang, Lijuan, Hu, Yonghui, Zhang, Shuai (2019) Instantaneous Rotational Speed Measurement Using Image Correlation and Periodicity Determination Algorithms. IEEE Transactions on Instrumentation and Measurement, . ISSN 0018-9456. E-ISSN 1557-9662. (doi:10.1109/TIM.2019.2932154)

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https://dx.doi.org/10.1109/TIM.2019.2932154

Abstract

Dynamic and accurate measurement of instantaneous rotational speed is desirable in many industrial processes for both condition monitoring and safety control purposes. This paper presents a novel imaging based system for instantaneous rotational speed measurement. The low-cost imaging device focuses on the side surface of a rotating shaft without the use of a marker, entailing benefits of non-contact measurement, low maintenance and wide applicability. Meanwhile, new periodicity determination methods based on the Chirp-Z transform and parabolic interpolation based auto-correlation algorithm are proposed to process the signal of similarity level reconstructed using an image correlation algorithm. Experimental investigations are conducted on a purpose-built test rig to quantify the effects of the periodicity determination algorithm, frame rate, image resolution, exposure time, illumination conditions, and photographic angle on the accuracy and reliability of the measurement system. Experimental results under steady and transient operating conditions demonstrate that the system is capable of providing measurements of a constant or gradually varying speed with a relative error no greater than ±0.6% over a speed range from 100 to 3000 RPM (Revolutions Per Minute). Under step change conditions the proposed system can achieve valid speed measurement with a maximum error of 1.4%.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2019.2932154
Uncontrolled keywords: Instantaneous rotational speed; Tachometer; Image processing; Image correlation; Spectral analysis; Autocorrelation.
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yong Yan
Date Deposited: 14 Aug 2019 17:11 UTC
Last Modified: 06 Feb 2020 04:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75812 (The current URI for this page, for reference purposes)
Yan, Yong: https://orcid.org/0000-0001-7135-5456
Wang, Lijuan: https://orcid.org/0000-0002-2517-2728
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