Jia Ran, Ma Biao, Zheng Changsong, Ba Xin, Wang Liyong, Du Qiu, Wang Kai
School of Mechanical Engineering, Beijing Institute of Technology, Zhongguancun South Street No.5 Haidian District, Beijing 100081, China.
Faculty of Engineering and Information, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Sensors (Basel). 2019 Jul 18;19(14):3162. doi: 10.3390/s19143162.
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.
电磁磨损颗粒探测器因其在各个领域的潜在应用而受到广泛研究。为了满足高精度磨损颗粒探测器的要求,提出了一种提高传感器灵敏度和可检测性的综合方法。基于传感器的特性,采用并联谐振激励线圈来增加颗粒引起的激励电路的阻抗变化,并将串联谐振拓扑结构和非晶磁芯应用于感应线圈,这提高了感应线圈的磁通量变化并增大了传感器的感应电动势。此外,研究了谐振频率对传感器灵敏度和有效颗粒检测范围的影响,这为优化传感器内磁场频率奠定了基础。为了进一步提高微颗粒的可检测性和传感器的实时监测能力,提出了一种基于改进的锁相放大器和经验模态分解与反向重构(EMD-RRC)的简单快速的颗粒信号提取方法,该方法可以有效地从低信噪比(SNR)的原始信号中提取颗粒信号。仿真和实验结果表明,所提出的方法将传感器的灵敏度提高了六倍以上。