MATHEMATICAL MODELING OF AN ADAPTIVE CAPACITIVE SENSOR AND MEASURING SYSTEM FOR MONITORING THE QUALITY INDICATORS OF LIQUID PRODUCTS
- Dilshod Eshmuradov
, - Norkhuja Nizomov,
- Otabek Ismailov
Abstract
Real-time, non-sampling monitoring of the quality of liquid products – fuels, lubricating oils, and other technological liquids – remains one of the actively developing areas of instrumentation and metrology. Capacitive sensing is widely used for this purp ose, since the dielectric permittivity of a liquid changes with its composition, contamination level, and moisture content, causing a corresponding change in sensor capacitance. Practical implementation of capacitive measuring channels, however, is complicated by parasitic capacitances, temperature-dependent drift of the sensor and the electronic measuring path, and random measurement noise. A number of studies address adaptive temperature compensation for capacitive sensors used to monitor liquid media, including lubricating -oil debris monitoring, portable dielectric -based oil -quality evaluation, and low -cost oil -quality sensors based on complex permittivity. At the same time, most known solutions treat the sensor in isolation, without a unified structural model that jointly accountsAuthor Biography
Dilshod Eshmuradov
Candidate of Technical Sciences (PhD), Associate Professor; Head of the Department of Power Supply Systems
Norkhuja Nizomov
Lecturer, Department of Power Supply Systems
Otabek Ismailov
Doctor of Technical Sciences, Professor; Department of Power Supply Systems
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