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作 者:贾然[1] 宋越[1] 王立勇[1] 张倩倩 王文平 陈涛[1] JIA Ran;SONG Yue;WANG Liyong;ZHANG Qianqian;WANG Wenping;CHEN Tao(The Ministry of Education Key Laboratory of Modern Measurement and Control Technology,Beijing Information Science and Technical University,Beijing 100192,China;Army Equipment Project Management Center,Beijing 100072,China)
机构地区:[1]北京信息科技大学现代测控技术教育部重点实验室,北京100192 [2]陆军装备部项目管理中心,北京100072
出 处:《湖南大学学报(自然科学版)》2023年第10期185-192,共8页Journal of Hunan University:Natural Sciences
基 金:国家自然科学基金资助项目(52175074);国家“173”计划资助项目(MKF20210009);北京信息科技大学重点研究培育项目(2121YJPY204)。
摘 要:随着机械系统复杂程度及运行可靠性要求的逐渐提高,电磁式磨粒在线监测传感器被广泛研究并逐步应用于机械设备磨损状态监测领域.针对润滑油液中金属磨损颗粒运动速度的随机性导致电磁式磨损颗粒检测传感器检测结果一致性差的问题,建立了交变磁场中金属球体磨损颗粒磁特性模型,研究磨损颗粒局部磁感应强度分布规律以及磁能扰动计算方法;同时提出并实验测得了非铁磁性磨损颗粒的磁能损耗系数,进而对传感器输出的颗粒信号进行补偿.实验表明该方法可以消除磨损颗粒运动速度对传感器输出信号幅值的影响,极大地提高传感器对非铁磁性磨损颗粒检测结果的一致性.With the increase in the complexity and reliability of mechanical systems,electromagnetic wear particle detection sensors have been widely studied and gradually applied in the field of wear-state monitoring for mechanical devices.Aiming at the problem that the velocity-randomness of metal wear particles in lubricating oil leads to poor consistency of detection results of electromagnetic wear particle detectors,the magnetic model of a spherical wear particle in an alternating magnetic field was established,and the distribution law of magnetic flux density and the method for calculating magnetic energy perturbation was studied.Meanwhile,the loss coefficient of magnetic energy for non-ferromagnetic wear particles was proposed and measured by experiments,and the characteristic signals of wear particles exported from the sensor are then compensated.The experimental results show that the method can eliminate the influence on the output signal amplitude by the speed of wear particles,which markedly improves the consistency of wear particle detection results.
关 键 词:传感器 颗粒粒度分析 颗粒监测 磨粒磁特性 一致性补偿
分 类 号:TP212.1[自动化与计算机技术—检测技术与自动化装置]
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