摘要
针对70%的液压设备故障由油液污染引起且固体颗粒为主要污染物,以及常用油液污染度检测技术设备大多存在结构复杂、价格昂贵和不便在线检测的现状,设计了一种反射式光纤油液污染度检测传感器。根据污染颗粒对光的阻挡致使光强的衰减现象,结合光在液体中传播特性,提出了油液污染度反射式光纤检测的工作原理。根据光纤纤端光场近似高斯分布的特性建立传感器数学模型,在颗粒均匀分布的假设下,分析了不同参数对传感器输出特性的影响,确定了传感器探头结构,设计了用于油液污染度检测的反射式光纤传感器,并搭建了传感器实验平台。根据不同污染度等级配置标准油液,对传感器特性进行验证。实验结果表明,该传感器可以实现对不同污染度等级标准的液压油液检测。
In view of the fact that 70%of the faults of hydraulic equipment caused by oil contamination,solid particles are the main contamination.Most of the commonly used oil contamination detection technology and equipment have the status of complex structure,expensive price and inconvenient online detection.Herein,a re-flective optical fiber oil contamination detection sensor is designed.According to the attenuation of light intensity caused by the blocking of light by contamination particles,combined with the propagation characteristics of light in liquid,the working principle of oil contamination degree reflective optical fiber detection is proposed.The mathematical model of the sensor is established according to the approximate Gaussian distribution of the optical field at the end of the optical fiber.The influence of different parameters on the output characteristics of the sen-sor is analyzed.The structure of the sensor probe is determined.The reflective optical fiber sensor for oil contam-ination detection is designed.Based on the sensor test platform,the standard oil is configured according to differ-ent contamination levels to verify the characteristics of the sensor.Experimental results show that the sensor can detect the hydraulic contaminated oil with different contamination level standards.
作者
张平
梁洁
孙天宇
佟昆宏
ZHANG Ping;LIANG Jie;SUN Tianyu;TONG Kunhong(School of Mechanical and Electrical Engineering,Xi′an University of Architecture and Technology Xi′an,710055,China)
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2023年第4期692-697,827,828,共8页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(51405366)
陕西省液压技术重点实验室基金资助项目(YYJS2022KF08)。
关键词
反射式光纤
油液污染
传感器
数学模型
输出特性
reflective optical fiber
oil contamination
sensor
mathematical model
output characteristics
