基于LabVIEW的测振传感器多频混合校准系统的开发
Development of a Multi-Frequency Hybrid Calibration System for Vibration Sensors Based on LabVIEW
摘要: 随着现代工业快速发展,传感器已成为现代工业测试中不可或缺的重要工具,被广泛地在航空、航天、汽车、电力、地质勘测等领域。测振传感器作为测量振动量的传感器,在工业测试以及计量领域得到了广泛的应用。传感器灵敏度是传感器输出电压信号的量值与输入给传感器机械信号量值的比值。在实际测量中,通过传感器的输出电压信号量值与传感器灵敏度便可以确定输入到传感器的被测机械振动信号量值,因此传感器灵敏度是衡量传感器性能的重要指标。由于生产过程存在着差异,每个传感器的灵敏度不可能完全一致,因此需要对传感器的灵敏度进行校准。传统的测振传感器校准主要是定频校准,采用正弦信号激励传感器,每次校准时,都必须经过频率设置、振级调整和测试三个步骤,而且只能进行一个频率的校准,因此,校准过程相当费时,对环境的稳定性有较高要求。为了克服现有技术的不足,我们编写了一套测振传感器多频混合校准系统软件,能自动对测振传感器进行多频混合校准,提高了校准效率。
Abstract: With the rapid development of modern industry, sensors have become an indispensable tool in modern industrial testing, widely used in aviation, aerospace, automotive, power, geological exploration, and other fields. Vibration sensors, as sensors for measuring vibration, are widely used in industrial testing and metrology. Sensor sensitivity is the ratio of the sensor’s output voltage signal to the mechanical signal input to the sensor. In actual measurement, the magnitude of the mechanical vibration signal input to the sensor can be determined by the sensor’s output voltage signal and sensor sensitivity; therefore, sensor sensitivity is an important indicator for evaluating sensor performance. Due to differences in production processes, the sensitivity of each sensor cannot be completely consistent, thus requiring sensor sensitivity calibration. Traditional vibration sensor calibration mainly involves fixed-frequency calibration, using sinusoidal signals to excite the sensor. Each calibration requires three steps: frequency setting, vibration level adjustment, and testing, and only one frequency can be calibrated at a time. Therefore, the calibration process is quite time-consuming and requires high environmental stability. To overcome the shortcomings of existing technologies, we developed a multi-frequency hybrid calibration system software for vibration sensors. This system can automatically perform multi-frequency hybrid calibration of vibration sensors, improving calibration efficiency.
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