Abstract

Wear debris monitoring of lubricant oil is an important method to determine the health and failure mode of key components such as bearings and gears in rotatory machines. The permittivity of lubricant oil can be changed when the wear debris enters the oil. Capacitive sensing methods showed potential in monitoring debris in lubricant due to the simple structure and good response. In order to improve the detection sensitivity and reliability, this study proposes a new coaxial capacitive sensor network featured with parallel curved electrodes and non-parallel plane electrodes. As a kind of through-flow sensor, the proposed capacitive sensor network can be in situ integrated into the oil pipeline. The theoretical models of sensing mechanisms were established to figure out the relationship between the two types of capacitive sensors in the sensor network. The intensity distributions of the electric field in the coaxial capacitive sensor network are simulated to verify the theoretical analysis, and the effects of different debris sizes and debris numbers on the capacitance values were also simulated. Finally, the theoretical model and simulation results were experimentally validated to verify the feasibility of the proposed sensor network.

Highlights

  • The lubricating oil system is an important part of the aircraft engine

  • The lubricating oil can be used as a transport medium of wear debris produced by mechanical wear

  • X-ray spectroscopy is an online monitoring technology based on spectroscopic analysis [9], in which X-rays are used to excite and receive signals

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Summary

Introduction

The lubricating oil system is an important part of the aircraft engine. Besides lubrication and cooling, the lubricating oil can be used as a transport medium of wear debris produced by mechanical wear. X-ray spectroscopy is an online monitoring technology based on spectroscopic analysis [9], in which X-rays are used to excite and receive signals This method requires complex analytical instruments and skilled operators, which is less feasible in practical applications. Capacitive-based methods can detect debris by monitoring the change in the permittivity of lubricating oil. Islam et al [15] proposed a Thompson–Lampard theorem based cross-capacitive sensor to detect metal particles in lubricating oil. The sensor has four identical symmetrically placed electrodes, and the presence of metal debris in lubricant oil can be detected by monitoring changes in the cross-capacitance value. The proposed sensor plug uses a magnetic method to attract ferrous debris in lubricant oil, the presence of the debris accumulated on the plug can be sensed by a capacitive sensing technique. AFs isnhaollwy,nthine Feilgeuctrreo3dae.sTahree lpelnagctehdaonnd twheidmthaotrfixth, eanndont-hpearmalaletrlipxlaisteinasrteaslleetdtoinlsaidned tLh,e ressepnesoctrivneeltyw. oTrhke. plates AB and CD extend to intersect at point O, and the extension line

Mathematical Model of the Capacitive Sensor Network
Numerical Simulation
Conclusions
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