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Capacitance Method and Data Fusion in Non-Intrusive Pressure Measurement

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Abstract:

Pressure measuring has the crucial role to failure diagnosis and detection of hydraulic system. The conventional pressure measurement instruments fail to make the necessary pressure readings within the sealed pipelines. Capacitance method is feasible for pressure measuring, which takes the dielectric characteristics of hydraulic oil into consideration and measures the capacitance instead of pressure. But the measurement precise will be disturbed by many factors such as temperature, pipelines, oil sorts, etc. In this paper, a fusion technique based on FLANN is proposed to remove the temperature disturbance and enhance accuracy and reliability of measurement. Firstly, capacitance-based pressure determination was demonstrated. Then an FLANN-based data fusion model was built. In order to study the proposed algorithm, a pressure and temperature measuring system was established. The calibration tests and simulation studies show that the proposed method can effectively eliminate the disturbance and realize steady, real-time and high-accuracy measurement of pressure.

Keywords: CAPACITANCE MEASUREMENT; DATA FUSION; NEURAL NETWORKS; NONLINEAR SYSTEMS; PRESSURE MEASUREMENT

Document Type: Research Article

DOI: https://doi.org/10.1166/sl.2011.1520

Publication date: 2011-10-01

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