Abstract detail

19 / 2021-03-07 14:16:32
Application of optical vibration sensing in dry-type transformer condition monitoring
Vibration imaging; Power transformers; Distributed fiber sensing; Faults diagnostic
Special Sessions > Noise, vibration and their application in power systems
Draft Paper Accepted
Huihui Jin / Zhejiang University
Qizhen Wang / Zhejiang University
Chunming Pei / State Grid Electric Power Research Institute-Wuhan Nanrui
Yuxing Wang / Zhejiang University
As an innovative vibration sensor, distributed optical fiber has been applied in intrusion detection, health monitoring of large-scale buildings for many years. This paper attempted to broaden its application to the condition monitoring of power transformers, since the optical fiber sensing has the natural advantages in anti-electromagnetic interference and distributed imaging. To achieve this objective, an optical fiber distribution system based on ∅-OTDR technique was designed, which was able to localize the vibration point within 5m in length. A novel reeling method considering longitude and latitude arrangement was proposed to further improve its vibration space resolution. In the meantime, the vibration characteristics of a damaged transformer winding were analysed in terms of contour images. Comparing to those obtained from numerical models, failure indicators were summarized based on image features, which were sensitive to winding deformation or insulation aging. Finally, a self-developed imaging software based on OpenGL and PyQt was introduced which further validated its application feasibility.

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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