一种用于油液磨粒监测的多线圈阻抗传感器

doi:10.3901/JME.2022.12.010

机械工程学报 ›› 2022, Vol. 58 ›› Issue (12): 10-17.doi: 10.3901/JME.2022.12.010

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一种用于油液磨粒监测的多线圈阻抗传感器

顾长智, 史皓天, 张洪朋, 马来好, 孙玉清

大连海事大学轮机工程学院大连 116026

收稿日期:2021-09-05 修回日期:2022-01-06 出版日期:2022-06-20 发布日期:2022-09-14
通讯作者: 张洪朋(通信作者),男,1978年出生,博士,教授,博士研究生导师。主要研究方向为船舶机电一体化、船舶液压系统与微流体芯片检测技术。E-mail:zhppeter@163.com
作者简介:顾长智,男,1985年出生,博士研究生。主要研究方向为机电一体化和微流体检测技术。E-mail:msagcz@163.com;史皓天,男,1996年出生,博士研究生。主要研究方向为船舶机电一体化、机械设备的状态监测及故障诊断、电磁无损探伤、微纳传感器、磨粒检测技术。E-mail:dmu6hao@163.com;孙玉清,男,1863年出生,博士,教授,博士研究生导师。主要研究方向为机电一体化、船舶液压驱动和控制以及制冷技术
基金资助:
国家自然科学基金（51679022），大连市科技创新基金（2019J12GX023）和兴辽人才计划（XLYC20074）资助项目

Impedance Sensor with Multi-coil for Oil Debris Monitoring

GU Changzhi, SHI Haotian, ZHANG Hongpeng, MA Laihao, SUN Yuqing

Marine Engineering College, Dalian Maritime University, Dalian 116026

Received:2021-09-05 Revised:2022-01-06 Online:2022-06-20 Published:2022-09-14

摘要/Abstract

摘要： 液压油是机械设备的关键介质，其携带的磨粒可反映设备的运行状态，有效地预测设备的早期故障，达到预知维修。为了实现液压油磨粒监测，设计并研究一种多线圈阻抗传感器。其中硅钢片用来增强检测区域的磁场强度，双矩形检测通道可以充分利用磁场分布区域，从而提高传感器的检测精度和通量。串并联线圈的对比试验表明，线圈同向串联时，传感器具有较高的检测灵敏度，更适合于磨粒的监测。该多线圈阻抗传感器可根据电感脉冲信号的方向以及电阻和电感脉冲信号的有无来判断区分金属磨粒的属性，可有效检测和区分的最小金属磨粒为46 μm的铁颗粒和110 μm的铜颗粒。此类阻抗式磨粒传感器基于电感和电阻两个参数进行检测可以获得更为准确的磨粒信息，弥补传统电感式传感器对非铁磁性金属磨粒检测精度有限的不足。

关键词: 阻抗式传感器, 磨粒, 液压油, 多线圈

Abstract: Hydraulic oil is the key medium of mechanical equipment. The wear debris carried in hydraulic oil can reflect the operating state of the equipment, effectively predict the early failure of the equipment, and achieve predictive maintenance. In order to monitor the wear debris in hydraulic oil, an impedance sensor with multi-coil is designed and studied. The silicon steel strips are used to enhance the magnetic field strength of the detection region, the rectangular channels can make full use of the magnetic field distribution region, thereby improving the detection sensitivity and throughput of the sensor. The comparison experiment of series-parallel coils shows that the sensor has higher detection sensitivity and is more suitable to detect wear debris when the coils are connected in series in the same direction. The impedance sensor with multi-coil can judge the properties of the metal debris according to the direction of the inductance signal and the presence or absence of the resistance and inductance signals. The smallest metal debris that can be detected and distinguished by the sensor are 46 μm iron particle and 110 μm copper particle. The impedance debris sensor can obtain more accurate debris information based on the two parameters of inductance and resistance, which makes up for the insufficiency of the limited accuracy of traditional inductance sensors for non-ferromagnetic metal debris.

Key words: impedance sensor, wear debris, hydraulic oil, multi-coil

中图分类号:

TP212
TH73

顾长智, 史皓天, 张洪朋, 马来好, 孙玉清. 一种用于油液磨粒监测的多线圈阻抗传感器[J]. 机械工程学报, 2022, 58(12): 10-17.

GU Changzhi, SHI Haotian, ZHANG Hongpeng, MA Laihao, SUN Yuqing. Impedance Sensor with Multi-coil for Oil Debris Monitoring[J]. Journal of Mechanical Engineering, 2022, 58(12): 10-17.

参考文献

[1] DU L, ZHE J, CARLETTA J, et al. Real-time monitoring of wear debris in lubrication oil using a microfluidic inductive Coulter counting device[J]. Microfluidics and Nanofluidics, 2010, 9(6):1241-1245.
[2] WANG Z, XUE X, YIN H, et al. Research progress on monitoring and separating suspension particles for lubricating oil[J]. Complexity, 2018(5):1-9.
[3] ZHU X, ZHONG C, ZHE J. Lubricating oil conditioning sensors for online machine health monitoring:A review[J]. Tribology International, 2017, 109:473-484.
[4] BORDATCHEV E, AGHAYAN H, YANG J. Object shape-based optical sensing methodology and system for condition monitoring of contaminated engine lubricants[J]. Optics & Lasers in Engineering, 2014, 54:128-138.
[5] XU C, ZHANG P, WANG H, et al. Ultrasonic echo waveshape features extraction based on QPSO-matching pursuit for online wear debris discrimination[J]. Mechanical Systems & Signal Processing, 2015, 60-61:301-315.
[6] ISLAM T, YOUSUF M, NAUMAN M. A highly precise cross-capacitive sensor for metal debris detection in insulating oil[J]. Review of Scientific Instruments, 2020, 91(2):025005.
[7] 范红波, 张英堂, 陶凤和, 等. 铁磁质磨粒形态对电感式磨粒传感器输出特性的影响[J]. 传感技术学报, 2009, 22(10):1401-1405. FAN Hongbo, ZHANG Yingtang, TAO Fenghe, et al. Effect of the ferromagnetic wear debris morphology on the output characteristic of inductive wear debris sensor[J]. Chinese Journal of Sensors and Actuators, 2009, 22(10):1401-1405.
[8] 范红波, 张英堂, 陶凤和, 等. 电感式磨粒传感器中非铁磁质磨粒的磁场特性[J]. 传感器与微系统, 2010, 29(2):35-41. FAN Hongbo, ZHANG Yingtang, TAO Fenghe, et al. Magnetic characteristic of unferromagnetic wear debris in inductive wear debris sensor[J]. Transducer and Microsystem Technologies, 2010, 29(2):35-41.
[9] JIA R, MA B, ZHENG C, et al. Magnetic properties of ferromagnetic particles under alternating magnetic fields:Focus on particle detection sensor applications[J]. Sensors, 2018, 18:4144.
[10] DU L, ZHE J. A high throughput inductive pulse sensor for online oil debris monitoring[J]. Tribology International, 2011, 44(2):175-179.
[11] 史皓天, 张洪朋, 王文琪, 等. 高精度磨粒检测传感器的设计及研究[J]. 光学精密工程, 2019, 27(9):2043-2052. SHI Haotian, ZHANG Hongpeng, WANG Wenqi, et al. Design and research of high sensitive wear debris detection sensor[J]. Optics & Precision Engineering, 2019, 27(9):2043-2052.
[12] REN Y, ZHAO G, QIAN M, et al. A highly sensitive triple-coil inductive debris sensor based on an effective unbalance compensation circuit[J]. Measurement Science and Technology, 2019, 31(2):025103.
[13] 贾然, 马彪, 郑长松, 等. 电感式磨粒在线监测传感器灵敏度提高方法[J]. 湖南大学学报, 2018, 45(4):129-137. JIA Ran, MA Biao, ZHENG Changsong, et al. Sensitivity improvement method of on-line inductive wear particles monitor sensor[J]. Journal of Hunan University, 2018, 45(4):129-137.
[14] LI C, LIANG M. Enhancement of oil debris sensor capability by reliable debris signature extraction via wavelet domain target and interference signal tracking[J]. Measurement, 2013, 46(4):1442-1453.
[15] HONG W, WANG S, LIU H, et al. A hybrid method based on band pass filter and correlation algorithm to improve debris sensor capacity[J]. Mechanical Systems and Signal Processing, 2017, 82:1-12.
[16] HONG W, WANG S, TOMOVIC M, et al. A new debris sensor based on dual excitation sources for online debris monitoring[J]. Measurement Science and Technology, 2015, 26(9):095101.
[17] FENG S, YANG L, QIU G, et al. An inductive debris sensor based on a high-gradient magnetic field[J]. IEEE Sensors Journal, 2019, 19(8):2879-2886.
[18] LIU L, CHEN L, WANG S, et al. Improving sensitivity of a micro inductive sensor for wear debris detection with magnetic powder surrounded[J]. Micromachines, 2019, 10(7):440.
[19] WU S, LIU Z, YUAN H, et al. Multichannel inductive sensor based on phase division multiplexing for wear debris detection[J]. Micromachines, 2019, 10(4):246.
[20] ZHU X, DU L, ZHE J, et al. A 3×3 wear debris sensor array for real time lubricant oil conditioning monitoring using synchronized sampling[J]. Mechanical Systems and Signal Processing, 2017:296-304.
[21] REN Y, LI W, ZHAO G, et al. Inductive debris sensor using one energizing coil with multiple sensing coils for sensitivity improvement and high throughput[J]. Tribology International, 2018:96-103.
[22] 曾霖, 张洪朋, 滕怀波, 等. 一种船机油液多污染物检测新方法研究[J]. 机械工程学报, 2018, 54(12):125-132. ZENG Lin, ZHANG Hongpeng, TENG Huaibo, et al. Novel method for the detection of multi-contaminants in marine lubricants[J]. Journal of Mechanical Engineering, 2018, 54(12):125-132.
[23] 马来好, 张洪朋, 乔卫亮, 等. 双螺线管套管结构的液压油金属颗粒检测传感器[J]. 仪器仪表学报, 2019, 40(7):216-223. MA Laihao, ZHANG Hongpeng, QIAO Weiliang, et al. Hydraulic oil metal particles detecting sensor of dual-solenoid coil with casing structure[J]. Chinese Journal of Scientific Instrument, 2019, 40(7):216-223.
[24] 史皓天, 张洪朋, 顾长智, 等. 液压油污染物多参数检测传感器[J]. 仪器仪表学报, 2018, 39(11):172-179. SHI Haotian, ZHANG Hongpeng, GU Changzhi, et al. Multi-parameter sensor for hydraulic oil pollutant[J]. Chinese Journal of Scientific Instrument, 2018, 39(11):172-179.
[25] 史皓天, 张洪朋, 顾长智, 等. 电感-电容双模式液压油污染物检测传感器[J]. 机械工程学报, 2020, 56(2):20-26. SHI Haotian, ZHANG Hongpeng, GU Changzhi, et al. Inductance-capacitance dual mode sensor for the detection of contaminants in hydraulic oil[J]. Journal of Mechanical Engineering, 2020, 56(2):20-26.
[26] 黄刘平, 田新启. 电涡流传感器线圈等效阻抗的计算与实验分析[J]. 化工自动化及仪表, 2017, 44(1):39-43. HUANG Liuping, TIAN Xinqi. Calculation and experimental analysis of equivalent impedance of eddy current sensor coil[J]. Control and Instruments in Chemical Industry, 2017, 44(1):39-43.
[27] 刘恩辰, 张洪朋, 吴瑜, 等. 油液过流速度对船舶液压油检测精度的影响[J]. 光学精密工程, 2016, 24(3):533-539. LIU Enchen, ZHANG Hongpeng, WU Yu, et al. Effect of oil velocity on sensitivity of micron metal particle detection by inductive sensor[J]. Optics & Precision Engineering, 2016, 24(3):533-539.
[28] 张兴明, 张洪朋, 陈海泉, 等. 微流体油液检测芯片分辨率-频率特性研究[J]. 仪器仪表学报, 2014, 35(2):427-433. ZHANG Xingming, ZHANG Hongpeng, CHEN Haiquan, et al. Study on the resolution-frequency characteristic of microfluidic oil detection chip[J]. Chinese Journal of Scientific Instrument, 2014, 35(2):427-433.

一种用于油液磨粒监测的多线圈阻抗传感器

Impedance Sensor with Multi-coil for Oil Debris Monitoring

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