
Proceedings Paper
Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensorFormat | Member Price | Non-Member Price |
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Paper Abstract
Modern hydraulic systems should be monitored on the regular basis. One of the most effective ways to address this task
is utilizing in-line automatic particle counters (APC) built inside of the system. The measurement of particle
concentration in hydraulic liquid by APC is crucial because increasing numbers of particles should mean functional
problems. Existing automatic particle counters have significant limitation for the precise measurement of relatively low
concentration of particle in aerospace systems or they are unable to measure higher concentration in industrial ones. Both
issues can be addressed by implementation of the CMOS image sensor instead of single photodiode used in the most of
APC. CMOS image sensor helps to overcome the problem of the errors in volume measurement caused by inequality of
particle speed inside of tube. Correction is based on the determination of the particle position and parabolic velocity
distribution profile. Proposed algorithms are also suitable for reducing the errors related to the particles matches in
measurement volume. The results of simulation show that the accuracy increased up to 90 per cent and the resolution
improved ten times more compared to the single photodiode sensor.
Paper Details
Date Published: 26 June 2017
PDF: 10 pages
Proc. SPIE 10329, Optical Measurement Systems for Industrial Inspection X, 103294K (26 June 2017); doi: 10.1117/12.2272059
Published in SPIE Proceedings Vol. 10329:
Optical Measurement Systems for Industrial Inspection X
Peter Lehmann; Wolfgang Osten; Armando Albertazzi Gonçalves Jr., Editor(s)
PDF: 10 pages
Proc. SPIE 10329, Optical Measurement Systems for Industrial Inspection X, 103294K (26 June 2017); doi: 10.1117/12.2272059
Show Author Affiliations
Dmitriy V. Kornilin, Samara National Research Univ. (Russian Federation)
Glyndwr Univ. (United Kingdom)
Ilya A. Kudryavtsev, Samara National Research Univ. (Russian Federation)
Alison J. McMillan, Glyndwr Univ. (United Kingdom)
Glyndwr Univ. (United Kingdom)
Ilya A. Kudryavtsev, Samara National Research Univ. (Russian Federation)
Alison J. McMillan, Glyndwr Univ. (United Kingdom)
Published in SPIE Proceedings Vol. 10329:
Optical Measurement Systems for Industrial Inspection X
Peter Lehmann; Wolfgang Osten; Armando Albertazzi Gonçalves Jr., Editor(s)
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