Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor
Kornilin, D V, Kudryavtsev, I A, McMillan, A.J., Osanlou, Ardeshir and Ratcliffe, Ian (2017) Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor. In: Optical Measurement Systems for Industrial Inspection X, 25/06/2017, Munich, Germany.
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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.
| Item Type: | Conference or Workshop Item (Paper) |
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| Keywords: | CMOS matrix sensor, image processing, automatic particles counters, hydraulic systems, diagnostic, concentration measurement |
| Divisions: | Applied Science, Computing and Engineering |
| Depositing User: | Mr Stewart Milne |
| Date Deposited: | 11 Jul 2017 12:01 |
| Last Modified: | 19 Dec 2017 14:14 |
| URI: | https://wrexham.repository.guildhe.ac.uk/id/eprint/15935 |
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