LI Meng, ZHENG Chang-song, LI He-yan, et al. Analysis on incentive characteristic of inductance wear particle on-line monitoring sensor[J]. 2014, 33(6): 19-22+30.
LI Meng, ZHENG Chang-song, LI He-yan, et al. Analysis on incentive characteristic of inductance wear particle on-line monitoring sensor[J]. 2014, 33(6): 19-22+30. DOI: 10.13873/j.1000-97872014.06.030.
电感式磨粒在线监测传感器的激励特性分析
摘要
针对电感磨粒传感器对小颗粒感应电动势微弱的现象
运用电磁原理、交流电原理、毕奥—萨伐尔原理
建立了该型传感器的感应电动势的数学模型
分析了激励频率、磨粒大小对感应电动势的影响
以及双磨粒通过传感器的情况
并进行了试验
验证了模型的正确性
为该型传感器的工程应用设计提供了依据。
Abstract
To solve problem of inductance wear particle sensor producing weak inductive electromotive force to small particles
with the principle of electromagnetic
alternating current( AC) principle
Biot-Savart principle
mathematical model of inductive electromotive force is deduced
incentive frequency
influence of wear particle size on inductive electromotive force and condition of two wear particles passing through the sensor and experiment is carried out
correctness of the model is verified by experiment
which provide basis for design of engineering application of this type of sensor.
A joint time-invariant wavelet transform and kurtosis approach to the improvement ofin-line oil debris sensor capability Patent pending (application number: 12/235,008, Countries: US and Canada). [J] . X Fan,M Liang,T Yeap. Smart Materials and Structures . 2009 (8)