电涡流式油液磨粒监测传感器的研究
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摘要
近年来,油液监测技术领域的研究和开发的热点集中在油液在线监测方法上。为此提出一种电涡流式基于PCB平面线圈传感器的油液磨粒监测方法,首先通过电磁仿真软件Maxwell进行平面线圈的电磁仿真,获得最优PCB平面线圈的结构设计;然后采用电桥法设计了传感器测量电路,运用模数转换原理设计了信号调理电路;最后制备了此传感器。经过试验,其结果表明:该传感器具有良好的线性度及灵敏度。该研究为微型传感器加入油液磨粒监测技术提供一种可行的方法,不仅缩小了传感器体积,而且降低了监测成本。
In recent years, research and development in the field of oil monitoring technology focus on the online oil monitoring methods. To this end, an eddy current method based on PCB planar coil sensor was proposed. At first, the electromagnetic coil was simulated by electromagnetic simulation software Maxwell, and the optimal PCB planar coil was designed. Then, the sensor measurement circuit was designed by bridge method,and the signal conditioning circuit was designed according to the principle of A/D conversion. Finally, this sensor was prepared. The experimental results show that the sensor has good linearity and sensitivity. This study provides a feasible method for micro-sensor with oil debris monitoring technology, which not only reduces the sensor volume, but also saves the monitoring costs.
In recent years, research and development in the field of oil monitoring technology focus on the online oil monitoring methods. To this end, an eddy current method based on PCB planar coil sensor was proposed. At first, the electromagnetic coil was simulated by electromagnetic simulation software Maxwell, and the optimal PCB planar coil was designed. Then, the sensor measurement circuit was designed by bridge method,and the signal conditioning circuit was designed according to the principle of A/D conversion. Finally, this sensor was prepared. The experimental results show that the sensor has good linearity and sensitivity. This study provides a feasible method for micro-sensor with oil debris monitoring technology, which not only reduces the sensor volume, but also saves the monitoring costs.
引文
[1]Du L, Zhu X L, Han Y, et al. Improving sensitivity of an inductive pulse sensor for detection of metallic wear debris in lubricants using parallel LC resonance method[J]. Measurementence Science and Technology,2013,24(7):660-664.
[2]康占祥,王燕山,胡飞,等.航空发动机旋转部件磨粒监测技术的进展[J].测控技术,2014,33(3):1-5.
[3]傅舰艇,詹惠琴,古军.三线圈电感式磨粒传感器的检测电路[J].仪表技术与传感器,2012(2):5-7.
[4]利卞,左洪福,文振华,等.油液磨粒在线监测方法及系统:CN 101393108,A[P].2009.
[5]黄文杰,左洪福.滑油系统全流量磨粒在线监测静电传感技术研究[J].航空学报,2013,34(8):1786-1794.
[6]彭峰,王立勇,吴健鹏,等.油液磨粒在线监测技术发展现状与趋势[J].设备管理与维修,2016(S2):28-30.
[7]王燕山,胡飞,张梅菊,等.智能制造中的状态在线监测技术[J].测控技术,2018,37(5):3-8.
[8]商薇,胡飞,王燕山,等.基于小波变换的油液金属颗粒检测算法研究[J].测控技术,2016,35(5):41-44.
[9] Su Y, Liu X, Lee C K, et al. On the relationship of qualityfactor and hollow winding structure of coreless printed spiral winding(CPSW)inductor[J]. IEEE Transactions on Power Electronics,2012,27(6):3050-3056.
[10] Showalter S, Pingalkar S, Pasha S. Oil debris monitoring in aerospace engines and helicopter transmissions[C]//20121st International Symposium on Physics and Technology of Sensors. IEEE,2012:157-160.
[11]赵博,张洪亮.Ansoft 12在工程电磁场中的应用[M].北京:中国水利水电出版社,2010.
[12]尹武良.低频电磁传感器险测技术——设计、分析、计算与应用[M].北京:科学出版社,2010.
[13]刘玹.润滑油金属颗粒物传感器技术研究[D].广州:华南理工大学,2013.
[2]康占祥,王燕山,胡飞,等.航空发动机旋转部件磨粒监测技术的进展[J].测控技术,2014,33(3):1-5.
[3]傅舰艇,詹惠琴,古军.三线圈电感式磨粒传感器的检测电路[J].仪表技术与传感器,2012(2):5-7.
[4]利卞,左洪福,文振华,等.油液磨粒在线监测方法及系统:CN 101393108,A[P].2009.
[5]黄文杰,左洪福.滑油系统全流量磨粒在线监测静电传感技术研究[J].航空学报,2013,34(8):1786-1794.
[6]彭峰,王立勇,吴健鹏,等.油液磨粒在线监测技术发展现状与趋势[J].设备管理与维修,2016(S2):28-30.
[7]王燕山,胡飞,张梅菊,等.智能制造中的状态在线监测技术[J].测控技术,2018,37(5):3-8.
[8]商薇,胡飞,王燕山,等.基于小波变换的油液金属颗粒检测算法研究[J].测控技术,2016,35(5):41-44.
[9] Su Y, Liu X, Lee C K, et al. On the relationship of qualityfactor and hollow winding structure of coreless printed spiral winding(CPSW)inductor[J]. IEEE Transactions on Power Electronics,2012,27(6):3050-3056.
[10] Showalter S, Pingalkar S, Pasha S. Oil debris monitoring in aerospace engines and helicopter transmissions[C]//20121st International Symposium on Physics and Technology of Sensors. IEEE,2012:157-160.
[11]赵博,张洪亮.Ansoft 12在工程电磁场中的应用[M].北京:中国水利水电出版社,2010.
[12]尹武良.低频电磁传感器险测技术——设计、分析、计算与应用[M].北京:科学出版社,2010.
[13]刘玹.润滑油金属颗粒物传感器技术研究[D].广州:华南理工大学,2013.