首页|基于事件感知原理的电力设备振动智能可视化感知方法研究

基于事件感知原理的电力设备振动智能可视化感知方法研究

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振动测量可以评估电力设备的运行状态,广泛应用于设备质量检验及故障识别等领域。事件感知技术能够感知设备振动引起的表面光强变化,具备测量描述物体振动行为的可行性。本文在分析事件传感器将振动行为转化为事件流数据原理的基础上,提出了将事件流数据重构为振动位移与时间关系的算法,实现振动信号幅频特征的提取;搭建振动测量试验平台,针对振动电机等电力设备开展了测量的可行性及有效性试验。试验结果表明:事件感知技术可有效感知物体表面振动行为,提出的振动测量算法普适性和稳定性好,振动频率计算准确,为工程中振动定位及幅频分析提供了一种非接触;可视化的新方法。
Power equipment vibration visualization using intelligent sensing method based on event-sensing principle
Vibration measurements can be used to evaluate the operation status of power equipment and are widely applied in equipment quality inspection and fault identification.Event-sensing technology can sense the change in surface light intensity caused by object vibration and provide a visual description of vibration behavior.Based on the analysis of the principle underlying the transformation of vibration behavior into event flow data by an event sensor,this paper proposes an algorithm to reconstruct event flow data into a relationship correlating vibration displacement and time to extract the amplitude-frequency characteristics of the vibration signal.A vibration measurement test platform is constructed,and feasibility and effectiveness tests are performed for the vibration motor and other power equipment.The results show that event-sensing technology can effectively perceive the surface vibration behavior of power and provide a wide dynamic range.Furthermore,the vibration measurement and visualization algorithm for power equipment constructed using this technology offers high measurement accuracy and efficiency.The results of this study provide a new noncontact and visual method for locating vibrations and performing amplitude-frequency analysis on power equipment.

Power equipmentEvent sensingNon contact measurementGraphic displayFeasibility

赵明哲、沈小军、苏磊、董子航

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Tongji University,No.1239 Siping Road,Yangpu District,Shanghai 200092,P.R.China

State Grid Shanghai Municipal Electric Power Company Electric Power Science Research Institute,Shanghai 200437,P.R.China

Department of Electrical and Electronic Engineering,Imperial College London,London,SW7 2AZ,U.K.

振动信号 事件感知 非接触测量 图像化展示 可行性

National Key Research and Development Program of China

2023YFB2604600

2024

全球能源互联网(英文)

全球能源互联网(英文)

CSTPCDEI
ISSN:2096-5117
年,卷(期):2024.7(2)
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