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嵌入式水润滑轴承薄膜压力传感器标定方法

Calibration method of embedded water-lubricated bearing thin film pressure sensor

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【作者】 张楠王楠张兴慧景敏王鹏

【Author】 ZHANG Nan;WANG Nan;ZHANG Xinghui;JING Min;WANG Peng;School of Mechanical Engineering, Shaanxi University of Technology;Shaanxi Key Laboratory of Industrial Automation;

【通讯作者】 王楠;

【机构】 陕西理工大学机械工程学院陕西省工业自动化重点实验室

【摘要】 针对现有水润滑轴承水膜压力监测中存在传感器体积大、传感器距离测点远等问题,构建智能水润滑轴承。即采用薄膜压力传感器并将其嵌入轴瓦内部,然后应用信息处理单元及调控装置实现轴承运行状态在线监测与调控。由于薄膜压力传感器体积很小,难以用传统方法标定,因此成为智能水润滑轴承研究中亟待解决的问题。提出了一种针对薄膜压力传感器的标定方法并建立了标定系统,系统包括HLD压力标定装置、传感器与前置调理模块,NI采集卡与上位机软件等。采用RANSAC算法与最小二乘法分别对标定数据拟合。最后对标定结果进行了误差分析,结果表明:RANSAC算法拟合精度高于最小二乘法,其最大相对误差为1.47%,证明了标定方法与系统的可行性。

【Abstract】 Aiming at the problem that sensor volume is large and the sensor distance is far from the measuring point in existing water film pressure monitoring of water-lubricated bearings, an intelligent water-lubricated bearing is constructed.That is, thin film pressure sensor is used and embedded into the bearing bush, and then, information processing unit and the control device are used to realize the on-line monitoring and control of running state of the bearing.However, thin film pressure sensor is difficult to calibrate by traditional methods because of its small volume, so it has become an urgent problem to be solved in research of intelligent water-lubricated bearings.A calibration method for thin film pressure sensor is proposed and a calibration system is established.The calibration system includes HLD pressure calibration device, sensor and pre-conditioning module, NI acquisition card and upper PC software, etc.RANSAC algorithm and least square method are used to fit the calibration data, respectively.Finally, error analysis is carried out on the calibration results.The results show that the fitting precision of RANSAC algorithm is higher than that of least square method, and the maximum relative error is 1.47 %,which proves the feasibility of the calibration method and the system.

【基金】 国家自然科学基金资助项目(51605269);陕西省高校青年杰出人才支持计划项目(SLGQD1802);陕西省自然科学基础研究计划项目(2020JQ—872)
  • 【文献出处】 传感器与微系统 ,Transducer and Microsystem Technologies , 编辑部邮箱 ,2021年12期
  • 【分类号】TP212
  • 【下载频次】296
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