Power equipment vibration visualization using intelligent sensing method based on event-sensing principle

Mingzhe Zhao; Xiaojun Shen; Lei Su; Zihang Dong

doi:10.1016/j.gloei.2024.04.010

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Power equipment vibration visualization using intelligent sensing method based on event-sensing principle

Smart Grid | 更新时间：2026-09-19

- Power equipment vibration visualization using intelligent sensing method based on event-sensing principle
- Global Energy Interconnection Vol. 7, Issue 2, Pages: 228-240(2024)
- 作者机构：
  
  1. Tongji University, No. 1239 Siping Road, Yangpu District,Shanghai,PR China,200092
  2. State Grid Shanghai Municipal Electric Power Company Electric Power Science Research Institute,Shanghai,PR China,200437
  3. Department of Electrical and Electronic Engineering, Imperial College London,London,UK,SW7 2AZ
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2024.04.010
  CLC：
- Online First：02 May 2024，
  
  Published：02 May 2024
- 稿件说明：
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Mingzhe Zhao, Xiaojun Shen, Lei Su, et al. Power equipment vibration visualization using intelligent sensing method based on event-sensing principle[J]. Global Energy Interconnection, 2024, 7(2): 228-240.
DOI：

Mingzhe Zhao, Xiaojun Shen, Lei Su, et al. Power equipment vibration visualization using intelligent sensing method based on event-sensing principle[J]. Global Energy Interconnection, 2024, 7(2): 228-240. DOI： 10.1016/j.gloei.2024.04.010.

摘要

Abstract

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.

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