Skip to main navigation Skip to search Skip to main content

Rotational speed measurement through digital imaging and image processing

  • University of Kent
  • North China Electric Power University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a rotational speed measurement system based on a low-cost imaging device with a simple marker on the rotor. Structural similarity and two-dimensional correlation algorithms are deployed to process the images. The measurement principle, structure design and performance assessment of the proposed system are presented and discussed. The effects of different markers, image processing algorithms and illumination conditions on the performance of the measurement system are quantified through a series of experimental tests on a laboratory test rig. Experimental results suggest that the system is capable of providing the maximum relative error of ±1% with normalized standard deviation less than 0.8% over a speed range from 0 to 700 RPM (Revolutions Per Minute).

Original languageEnglish
Title of host publicationI2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509035960
DOIs
StatePublished - 5 Jul 2017
Externally publishedYes
Event2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2017 - Torino, Italy
Duration: 22 May 201725 May 2017

Publication series

NameI2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings

Conference

Conference2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2017
Country/TerritoryItaly
CityTorino
Period22/05/1725/05/17

Keywords

  • Image processing
  • Image similarity evaluation
  • Measurement
  • Rotational speed
  • Tachometer

Fingerprint

Dive into the research topics of 'Rotational speed measurement through digital imaging and image processing'. Together they form a unique fingerprint.

Cite this