Skip to main content

Rotational Speed Measurement through Image Similarity Evaluation and Spectral Analysis

Wang, Tianyu, Yan, Yong, Wang, Lijuan, Hu, Yonghui (2018) Rotational Speed Measurement through Image Similarity Evaluation and Spectral Analysis. IEEE Access, . pp. 1-12. ISSN 2169-3536. (doi:10.1109/ACCESS.2018.2866479)

PDF - Publisher pdf

Creative Commons Licence
This work is licensed under a Creative Commons Attribution 4.0 International License.
Download (1MB) Preview
PDF - Author's Accepted Manuscript
Restricted to Repository staff only
Contact us about this Publication Download (1MB)
Official URL


Accurate and reliable measurement of rotational speed is desirable in a variety of industries. This paper presents a rotational speed measurement system based on a low-cost imaging device with a simple marker on the rotor. Sequential images are pre-processed through denoising, histogram equalization and circle Hough transform, and then processed by similarity evaluation methods to obtain the similarity level of images. Finally, the rotational speed is obtained through Chirp-Z transform on the restructured signals. The measurement principle, structure design and performance assessment of the proposed system are presented. The effects of different influence factors, including frame rate, marker shape and size, algorithm for image similarity evaluation, illumination conditions, shooting angle and photographic distance, on the performance of the measurement system are quantified and discussed through a series of experimental tests on a laboratory test rig. Experimental results suggest that the system is capable of providing constant rotational speed measurement with a maximum relative error of ±0.6% and a repeatability of less than 0.6% over a speed range from 100 to 900 RPM. Under varying speed conditions the proposed system can achieve valid measurement with a relative error within ±1% over the speed range of 300 to 900 RPM.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2018.2866479
Uncontrolled keywords: Image processing, rotational speed measurement, spectral analysis, tachometer.
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yong Yan
Date Deposited: 28 Aug 2018 09:36 UTC
Last Modified: 09 Jul 2019 13:20 UTC
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year