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Measurement of instantaneous rotational speed using double- sine-varying-density fringe pattern

机译:使用双正弦变化密度条纹图案测量瞬时转速

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摘要

Fast and accurate rotational speed measurement is required both for condition monitoring and faults diagnose of rotating machineries. A vision- and fringe pattern-based rotational speed measurement system was proposed to measure the instantaneous rotational speed (IRS) with high accuracy and reliability. A special double-sine-varying-density fringe pattern (DSVD-FP) was designed and pasted around the shaft surface completely and worked as primary angular sensor. The rotational angle could be correctly obtained from the left and right fringe period densities (FPDs) of the DSVD-FP image sequence recorded by a high-speed camera. The instantaneous angular speed (IAS) between two adjacent frames could be calculated from the real-time rotational angle curves, thus, the IRS also could be obtained accurately and efficiently. Both the measurement principle and system design of the novel method have been presented. The influence factors on the sensing characteristics and measurement accuracy of the novel system, including the spectral centrobaric correction method (SCCM) on the FPD calculation, the noise sources introduce by the image sensor, the exposure time and the vibration of the shaft, were investigated through simulations and experiments. The sampling rate of the high speed camera could be up to 5000 Hz, thus, the measurement becomes very fast and the change in rotational speed was sensed within 0.2 ms. The experimental results for different IRS measurements and characterization of the response property of a servo motor demonstrated the high accuracy and fast measurement of the proposed technique, making it attractive for condition monitoring and faults diagnosis of rotating machineries.
机译:对于状态监测和旋转机械的故障诊断,都需要快速而准确的转速测量。提出了一种基于视觉和条纹图案的转速测量系统,能够高精度,可靠地测量瞬时转速(IRS)。设计了特殊的双正弦变化密度条纹图案(DSVD-FP),并将其完全粘贴在轴表面周围,并用作主角度传感器。可以从高速相机记录的DSVD-FP图像序列的左右条纹周期密度(FPD)正确获得旋转角度。根据实时旋转角度曲线可以计算出两个相邻帧之间的瞬时角速度(IAS),从而也可以准确,高效地获得IRS。提出了新方法的测量原理和系统设计。研究了影响新系统传感特性和测量精度的因素,包括FPD计算中的光谱重心校正法(SCCM),图像传感器引入的噪声源,曝光时间和轴的振动。通过模拟和实验。高速摄像机的采样率可能高达5000 Hz,因此测量变得非常快,并且在0.2 ms内即可感测到转速的变化。不同的IRS测量结果和表征伺服电动机响应特性的实验结果证明了所提出技术的高精度和快速测量,使其对于旋转机械的状态监测和故障诊断具有吸引力。

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