基于多个同步旋转事件的角速度测量

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
George O. de A. Azevedo;Leandro H. de S. Silva;Agostinho Freire;Rogério P. de Araújo;Bruno J. T. Fernandes
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引用次数: 0

摘要

监测旋转机器对于评估操作、防止故障和提高效率至关重要。传统的旋转测量方法,如磁感应或光学传感器,通常需要为每个旋转部件提供专用硬件,这使得它们成本高昂且实施复杂,特别是在工业场景中。当必须同时测量多个旋转时,挑战就会加剧。本研究介绍了一种使用基于单事件的视觉传感器或动态视觉传感器(DVS)的新方法,该方法提供异步像素激活,高时间分辨率和宽动态范围。与传统的基于帧的传感器不同,分布式交换机需要高帧率并产生大量数据,它分析事件流并处理信号以识别交叉边缘和时间间隔。这样可以同时测量多个旋转部件。该方法在风扇螺旋桨、数控车床和无人机螺旋桨上进行了测试,显示出相对平均绝对误差(MAE)约为0.5%。由于其非接触式特性,这种方法可以在不改变原有生产线的情况下进行安全距离测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Simultaneous Rotation Event-Based Angular Speed Measurement
Monitoring rotating machines is essential for evaluating operations, preventing failures, and improving efficiency. Traditional rotational measurement methods, like magnetic induction or optical sensors, typically require dedicated hardware for each rotating part, making them costly and complex to implement, especially in industrial scenarios. The challenge intensifies when multiple rotations must be measured simultaneously. This study introduces a novel method using a single-event-based vision sensor, or dynamic vision sensor (DVS), which offers asynchronous pixel activation, high temporal resolution, and a wide dynamic range. Unlike traditional frame-based sensors, which require high frame rates and generate large data volumes, the DVS analyzes event streams and processes signals to identify crossing edges and time intervals. This enables simultaneous measurement of multiple rotating parts. The method was tested on a fan propeller, a CNC lathe, and drone propellers, demonstrating a relative mean absolute error (MAE) of around 0.5%. This method allows safe distance measurements without altering the original production line due to its non-contact nature.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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