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Sensors 2017, 17(12), 2851; https://doi.org/10.3390/s17122851

Characteristics Study of In-Situ Capacitive Sensor for Monitoring Lubrication Oil Debris

School of Aerospace Engineering, Xiamen University, Xiamen 361005, China
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Received: 25 October 2017 / Revised: 29 November 2017 / Accepted: 5 December 2017 / Published: 8 December 2017
(This article belongs to the Section Physical Sensors)
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Abstract

As an essential part of engine health monitoring (EHM), online lubrication oil debris monitoring has recently received great attention for the assessment of rotating and reciprocating parts in aero-engines, due to its high integration, low cost and safe characteristics. However, it is be a challenge to find a suitable sensor operating in such a complex environment. We present an unconventional novel approach, in which a cylinder capacitive sensor is designed and integrated with the pipeline of an engine lubrication system, so that the capacitive sensor can effectively detect changes in the lubrication oil condition. In this paper, an attempt to illustrate the performance characteristics of the developed cylinder capacitive sensor is made, through an experiment system that simulates a real scenario of a lubrication oil system. The main aim of the research was to qualitatively describe the relationship between the sensor parameter and the lubrication oil debris. In addition, the effect of the temperature and flow rate of the lubrication oil on capacitance change was performed by several experiments and we figured out a compensation method. The experimental results demonstrated that the cylinder capacitive sensor can potentially be used for lubrication oil debris monitoring of the health condition of an aero-engine. View Full-Text
Keywords: capacitive sensor; lubrication oil debris; characteristics; engine health monitoring capacitive sensor; lubrication oil debris; characteristics; engine health monitoring
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Han, Z.; Wang, Y.; Qing, X. Characteristics Study of In-Situ Capacitive Sensor for Monitoring Lubrication Oil Debris. Sensors 2017, 17, 2851.

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