Skip to main navigation Skip to search Skip to main content

基于宽频振动传感器的电力设备状态监测方法可行性分析

Translated title of the contribution: Feasibility Analysis of Power Equipment Condition Monitoring Method Based on Broadband Vibration Sensor
  • Chenmeng Xiang
  • , Shuguo Gao
  • , Hongliang Liu
  • , Jun Zhao
  • , Lingming Meng
  • , Yunfei Jia
  • , Fan Zhang
  • State Grid Hebei Electric Power Research Institute
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Broadband vibration signal includes both low frequency vibration signal within 1 Hz⁃20 kHz and high frequency ultrasonic signal within 20⁃500 kHz. In recent years,the method of using vibration signal to detect the state of such power equipment as transformer,capacitor and reactor is more and more mature. Using ultrasonic signal to detect and locate partial discharge of power equipment has also been an expertly application. In this paper,the condition monitoring method based on broadband vibration sensor is proposed. The vibration of the pulsed vibration source and the ultrasonic of partial discharge of the oil⁃paper insulated needle board electrode are measured simultaneously by the sensor. The ultrasonic time delay is corrected by simulation. The partial discharge is identified and compared with the results obtained by pulse current method. The results show that the proposed monitoring method can detect vibration and ultrasonic well and achieve the identification of partial discharge. The method proposed is feasible for the condition monitoring of power equipment.

Translated title of the contributionFeasibility Analysis of Power Equipment Condition Monitoring Method Based on Broadband Vibration Sensor
Original languageChinese (Traditional)
Pages (from-to)83-91
Number of pages9
JournalGaoya Dianqi/High Voltage Apparatus
Volume60
Issue number4
DOIs
StatePublished - 16 Apr 2024

Fingerprint

Dive into the research topics of 'Feasibility Analysis of Power Equipment Condition Monitoring Method Based on Broadband Vibration Sensor'. Together they form a unique fingerprint.

Cite this