Ambient temperature impact on the parameters of the electrical circuit of sensing element in cluster eddy current sensor of metal chips in the lubrication systems of gas turbine engines

Author:

Belosludtsev Viktor A.,Borovik Sergey Y.ORCID,Korshikov Igor G.,Sekisov Yuriy Nikolaevitch

Abstract

The detection of the wear particles in the engines lubrication systems is one of the most effective ways to assess the state of the bearing assemblies of machines and mechanisms. The most promising existing systems for online monitoring of wear particles are based on the eddy current methods for monitored parameters conversion. The reason is that such systems have the ability not only to determine the particle size, but also to recognize its magnetic properties, which makes it possible (under certain conditions) to localize the place of the defect development. At the same time, it is known that the ambient temperature changes in the monitored zone are one of the main external factors that have a significant impact on the informative parameters of eddy current converters. This is of particular importance for debris monitoring systems in high-power plants lubrication systems (e.g. gas turbine engine), where the oil temperature can vary widely (-50...+160 C). The temperature impact on the parameters of the electrical circuit of sensing element in the cluster single-coil eddy current sensor of metal chips, which is a part of the debris continuous monitoring system prototype for high-thrust aviation gas turbine engine, is studied in the article. A typical design of the single-coil sensing element is considered. The study results of the temperature effect on the sensing element inductance, as well as on the parameters of the current lead that connects the sensing element to the matching transformer and to the measuring circuit are presented. Methods for reducing the impact of temperature changes in the monitored area on the parameters of the electrical circuit of the sensing element are proposed, too.

Publisher

Samara State Technical University

Subject

General Medicine

Reference28 articles.

1. Miller J., Kitaljevich D. In-line oil debris monitor for aircraft engine condition assessment // IEEE Aerosp. Conf. Proc. 2009. V. 6. Pp. 49–56.

2. Peng Y., Wu T., Wang S., Peng Z. Wear state identification using dynamic features of wear debris for on-line purpose // Wear. 2017. V. 376–377. Pp.1885–1891.

3. Gryadunov K.I., Kozlov A.N., Nemchikov M.L., Melnikova I.S. Diagnostirovanie aviacionnyh dvigatelej po soderzhaniyu metallov v masle [Diagnostics of aircraft engines by the content of metals in oil] // Nauchniy Vestnik MGTU GA. 2019. V. 22. № 3. Pp. 35–44. (In Russian)

4. Shaporova E.A., Stojko S.O. Tekhnicheskaya diagnostika aviacionnyh dvigatelej [Technical diagnostics of aircraft engines] // Aviation: history, modernity, development prospects: Proc. V Intern. Scien.-techn. conf. Minsk: BGAA. 2020. (In Russian)

5. Wang X., Sun H., Wang S., Huang W. Cross-Correlation Algorithm-Based Optimization of Aliasing Signals for Inductive Debris Sensors // Sensors. 2020. V. 20. Pp. 5949.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3