DocumentCode :
1443378
Title :
A new optical sensor for measuring the velocity of webs by correlation techniques
Author :
Zeitler, Rüdiger
Author_Institution :
BARCO Autom. nv., Kortrijk, Belgium
Volume :
47
Issue :
1
fYear :
1998
fDate :
2/1/1998 12:00:00 AM
Firstpage :
289
Lastpage :
292
Abstract :
A newly developed measurement system is presented allowing us to measure the velocity of different two-dimensional (2-D) objects. The measurement system has already been tested for paper-, rubber-, and textile-webs, sheet metal, and road surfaces with a relative measurement error of typically less than 1% dependent on the dynamic response of the correlator. The measurement system consists of a sensor unit, transforming the stochastic characteristics of the moving object into two signals with a delay time t*, and a correlation unit, extracting the delay time from the signals and calculating the velocity of the surface. Different measurements at a test stand and at an industrial paper machine are presented to demonstrate the accuracy of the measurement system and its flexibility and robustness. The measurements include the velocity of the paper web in different sections of the machine and velocity fluctuations of the web
Keywords :
correlation methods; correlators; image sensors; measurement errors; microlenses; optical sensors; paper industry; photodetectors; velocity measurement; 2D objects; accuracy; correlation unit; delay time; digital closed loop correlator; flexibility; focal plane; industrial paper machine; microlens bank; moving object; optical sensor; paper web; quality control; robustness; stochastic characteristics; transit time correlation; velocity fluctuations; web velocity measurement system; zero crossing; Correlators; Delay effects; Measurement errors; Optical sensors; Roads; Sensor phenomena and characterization; System testing; Time measurement; Two dimensional displays; Velocity measurement;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/19.728836
Filename :
728836
Link To Document :
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