On the Investigation of Frequency Characteristics of a Novel Inductive Debris Sensor

Author:

Wu Xianwei1ORCID,Liu Hairui1,Qian Zhi1,Qian Zhenghua1ORCID,Liu Dianzi2ORCID,Li Kun3,Wang Guoshuai4

Affiliation:

1. State Key Laboratory of Mechanics and Control of Mechanical Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

2. School of Engineering, University of East Anglia, Norwich NR4 7TJ, UK

3. China Gas Turbine Establishment, Mianyang 621000, China

4. Nanjing Research Institute of Inner Mongolia North Heavy Industry Group Co., Ltd., Nanjing 211100, China

Abstract

Lubricants have the ability to reduce frictions, prevent wear, convey metal debris particles and increase the efficiency of heat transfer; therefore, they have been widely used in mechanical systems. To assess the safety and reliability of the machine under operational conditions, the development of inductive debris sensors for the online monitoring of debris particles in lubricants has received more attention from researchers. To achieve a high-precision, high-efficiency sensor for accurate prediction on the degree of wear, the equivalent circuit model of the sensor coil has been established, and its equations discovering the relationship between the induced voltage and excitation frequency have been derived. Furthermore, the influence of excitation frequencies and metal debris on the magnetic flux density has been analyzed throughout the simulations to determine the sensor magnetic field. In order to identify a frequency range suitable for detecting both ferrous and non-ferrous materials with a high level of sensitivity, the analytical analysis and experiments have been conducted to investigate the frequency characteristics of the developed inductive debris sensor prototype and its improved inspection capability. Moreover, the developed inductive debris sensor with the noticeable frequency characteristics has been assessed and its theoretical model has been also validated throughout experimental tests. Results have shown that the detection sensitivity of non-ferrous debris by the developed sensor increases with the excitation frequency in the range of 50 kHz to 250 kHz, while more complex results for the detection of ferrous debris have been observed. The detection sensitivity decreases as the excitation frequency increases from 50 kHz to 300 kHz, and then increases with the excitation frequency from 300 kHz to 370 kHz. This leads to the effective selection of the excitation frequency in the process of inspection. In summary, the investigation into the frequency characteristics of the proposed novel inductive debris sensor has enabled its broad applications and also provided a theoretical basis and valuable insights into the development of inductive debris sensors with improved detection sensitivity.

Funder

Natural Science Foundation of China

State Key Laboratory of Mechanics and Control of Mechanical Structures at NUAA

National Natural Science Foundation of Jiangsu Province

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Reference26 articles.

1. Review on online inductive wear debris monitoring technology;Chen;J. Eng.,2019

2. Mechanical wear debris feature, detection, and diagnosis: A review;Hong;Chin. J. Aeronaut.,2018

3. Lubricating oil conditioning sensors for online machine health monitoring—A review;Zhu;Tribol. Int.,2017

4. Tribological advancements for reliable wind turbine performance;Kotzalas;Philos. Trans.,2010

5. A non-reference evaluation method for edge detection of wear particles in ferrograph images;Wang;Mech. Syst. Signal Process.,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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