Back to Search Start Over

Design of an intelligent transformer oil sampling system

Authors :
Shaotong Pei
Haichao Sun
Source :
Electronics Letters, Vol 59, Iss 22, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract In response to the transformer oil sampling requirements within substations, this paper presents the design and development of a highly intelligent transformer oil sampling system. The robot employs a tracked mobile chassis and a gantry robotic arm, offering high mobility stability and operational reliability. The system effectively conducted oil sampling operations in an extra‐high voltage substation, obtaining valuable oil samples that validate the structural and functional reliability of the system, as well as its stability in complex working environments. This research provides a promising solution for transformer maintenance and health monitoring, with the potential to play a significant role in power equipment maintenance.

Details

Language :
English
ISSN :
1350911X and 00135194
Volume :
59
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Electronics Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.44a6a61465bf444ea5c6af43e4d7f2b5
Document Type :
article
Full Text :
https://doi.org/10.1049/ell2.13038