Journal of Marine Science and Engineering (Sep 2024)

Characterization of Abrasive Grain Signal of Oil Detection Sensor Based on LC Resonance Wireless Transmission

  • Shaoxuan Zhang,
  • Zuo Zhang,
  • Chenzhao Bai,
  • Shukui Hu,
  • Jizhe Wang,
  • Chenyong Wang,
  • Hongpeng Zhang

DOI
https://doi.org/10.3390/jmse12101704
Journal volume & issue
Vol. 12, no. 10
p. 1704

Abstract

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Friction in marine engineering machinery produces abrasive particles containing valuable information. By employing oil detection technology, we can analyze these particles to monitor and diagnose mechanical system faults. This paper introduces an inductive oil detection sensor and wireless signal transmission circuit. The sensor utilizes two opposing solenoid coils of the same specifications, with the detection coil connected to a chip capacitor to form an LC resonant unit. The designed wireless transmission circuit wirelessly transmits a sensing signal from a detection coil to a receiving coil to detect metal particles in oil. This paper deduces the sensor’s inductance principle and simulates the magnetic field distribution using finite element simulation software. Through experiments, the optimal excitation frequency, coil spacing, and oil sample flow path location were determined. The sensor successfully detected 55 μm iron particles and 138 μm copper particles in a 1 mm microfluidic channel. With its simple structure, distinct signal characteristics, and high sensitivity, the sensor is suitable for detecting metal abrasive particles in hydraulic oil, providing a new approach for wireless transmission in oil detection sensors.

Keywords