On-line condition monitoring of power transmission belts is essential to keep industrial belt-driven equipment functioning smoothly and reliably. This paper presents a smart electrostatic sensor that monitors belt motion through detection of static charge on the belt. A theoretical model is established using the method of moments for calculation of induced charge on strip-shaped electrodes placed in the vicinity of a belt moving both axially and transversely. The sensor unit converts the induced charge into proportional voltage signals using charge amplifiers and measures belt speed and vibration through cross correlation and spectral analysis, respectively. The performance of the smart electrostatic sensor is validated against a photoelectric rotary encoder and a laser displacement sensor. Comparative experimental results show that the belt speed can be measured with a relative error within ±2% over the range 1.7-15.5 m/s. The electrostatic sensor is capable of measuring the frequencies of transverse vibration accurately. Although absolute displacement cannot be measured due to the uncertain level of charge on the belt, the measurement results of relative vibration magnitudes for different modes and at different belt speeds are reasonably accurate.
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机译:动力传动带的在线状态监视对于保持工业传动带驱动的设备平稳可靠地运行至关重要。本文提出了一种智能静电传感器,该传感器通过检测皮带上的静电荷来监视皮带的运动。使用矩量法建立了理论模型,用于计算放置在轴向和横向运动的皮带附近的条形电极上的感应电荷。传感器单元使用电荷放大器将感应电荷转换为比例电压信号,并分别通过互相关和频谱分析来测量皮带速度和振动。智能静电传感器的性能可通过光电旋转编码器和激光位移传感器进行验证。对比实验结果表明,皮带速度可以在1.7-15.5 m / s的范围内以±2%的相对误差进行测量。静电传感器能够准确地测量横向振动的频率。尽管由于皮带上电荷的不确定程度而无法测量绝对位移,但是不同模式和不同皮带速度下相对振动幅度的测量结果是相当准确的。
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