Comprehensive Improvement of the Sensitivity and Detectability of a Large-Aperture Electromagnetic Wear Particle Detector

被引:33
作者
Jia, Ran [1 ]
Ma, Biao [1 ]
Zheng, Changsong [1 ]
Ba, Xin [1 ,2 ]
Wang, Liyong [3 ]
Du, Qiu [1 ]
Wang, Kai [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Zhongguancun South St 5, Beijing 100081, Peoples R China
[2] Univ Technol Sydney, Fac Engn & Informat, Ultimo, NSW 2007, Australia
[3] Beijing Informat Sci & Technol Univ, Minist Educ, Key Lab Modern Measurement & Control Technol, Xiaoying East St 12, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
particle detection; sensitivity; resonance; amorphous core; signal extraction; SENSOR CAPABILITY; OIL; DECOMPOSITION; ENHANCEMENT; DEBRIS;
D O I
10.3390/s19143162
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The electromagnetic wear particle detector has been widely studied due to its prospective applications in various fields. In order to meet the requirements of the high-precision wear particle detector, a comprehensive method of improving the sensitivity and detectability of the sensor is proposed. Based on the nature of the sensor, parallel resonant exciting coils are used to increase the impedance change of the exciting circuit caused by particles, and the serial resonant topology structure and an amorphous core are applied to the inductive coil, which improves the magnetic flux change of the inductive coil and enlarges the induced electromotive force of the sensor. Moreover, the influences of the resonance frequency on the sensitivity and effective particle detection range of the sensor are studied, which forms the basis for optimizing the frequency of the magnetic field within the sensor. For further improving the detectability of micro-particles and the real-time monitoring ability of the sensor, a simple and quick extraction method for the particle signal, based on a modified lock-in amplifier and empirical mode decomposition and reverse reconstruction (EMD-RRC), is proposed, which can effectively extract the particle signal from the raw signal with low signal-to-noise ratio (SNR). The simulation and experimental results show that the proposed methods improve the sensitivity of the sensor by more than six times.
引用
收藏
页数:19
相关论文
共 29 条
[1]   Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis [J].
Camarena-Martinez, David ;
Valtierra-Rodriguez, Martin ;
Andres Perez-Ramirez, Carlos ;
Pablo Amezquita-Sanchez, Juan ;
de Jesus Romero-Troncoso, Rene ;
Garcia-Perez, Arturo .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (04) :2369-2378
[2]   Improving sensitivity of an inductive pulse sensor for detection of metallic wear debris in lubricants using parallel LC resonance method [J].
Du, Li ;
Zhu, Xiaoliang ;
Han, Yu ;
Zhao, Liang ;
Zhe, Jiang .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (07)
[3]   Real-time monitoring of wear debris in lubrication oil using a microfluidic inductive Coulter counting device [J].
Du, Li ;
Zhe, Jiang ;
Carletta, Joan ;
Veillette, Robert ;
Choy, Fred .
MICROFLUIDICS AND NANOFLUIDICS, 2010, 9 (06) :1241-1245
[4]  
Fan H.B., 2010, TRIBOLOGY, V4, P338
[5]   A joint time-invariant wavelet transform and kurtosis approach to the improvement of in-line oil debris sensor capability [J].
Fan, X. ;
Liang, M. ;
Yeap, T. .
SMART MATERIALS AND STRUCTURES, 2009, 18 (08)
[6]   AN INDUCTIVE METHOD FOR ESTIMATING THE COMPOSITION AND SIZE OF METAL PARTICLES [J].
FLANAGAN, IM ;
JORDAN, JR ;
WHITTINGTON, HW .
MEASUREMENT SCIENCE AND TECHNOLOGY, 1990, 1 (05) :381-384
[7]   3D Surface Characterizations of Wear Particles Generated from Lubricated Regular Concave Cylinder Liners [J].
Guo, Zhiwei ;
Yuan, Chengqing ;
Yan, Xinping ;
Peng, Zhongxiao .
TRIBOLOGY LETTERS, 2014, 55 (01) :131-142
[8]   A fractional calculus technique for on-line detection of oil debris [J].
Hong, Hoonbin ;
Liang, Ming .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19 (05)
[9]   Radial inductive debris detection sensor and performance analysis [J].
Hong, Wei ;
Wang, Shaoping ;
Tomovic, Mileta ;
Han, Lei ;
Shi, Jian .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (12)
[10]   Magnetic Properties of Ferromagnetic Particles under Alternating Magnetic Fields: Focus on Particle Detection Sensor Applications [J].
Jia, Ran ;
Ma, Biao ;
Zheng, Changsong ;
Wang, Liyong ;
Ba, Xin ;
Du, Qiu ;
Wang, Kai .
SENSORS, 2018, 18 (12)