Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)

A Box Transformer Substation Fault Diagnosis Based on IoT

Authors
Li Yang, Yang Mingshun, Wang Zhanjun
Corresponding Author
Li Yang
Available Online November 2019.
DOI
10.2991/pntim-19.2019.65How to use a DOI?
Keywords
Component; Box Transformer Substation; Internet of Things Architecture; Fault Diagnosis
Abstract

In order to change the traditional fault diagnosis form and realize on-line fault diagnosis, a fault diagnosis architecture of box transformer substation based on Internet of Things(IoT) technology is proposed. This architecture is a three-layer fault diagnosis framework of box transformer substation including the perception layer, the transport layer and the application layer. This paper analyzes the online fault diagnosis process of box transformer substation under the IoT architecture and its key technologies. Through the IoT technology to realize the collection of information data and online fault diagnosis of box transformer substation operation, the box transformer substation can be processed quickly, in real time and accurately when it fails, to prevent system fluctuations and catastrophic accidents, and provide necessary basis for planned maintenance, so as to extend the service life of box transformer substation and improve the operation efficiency.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
Series
Atlantis Highlights in Engineering
Publication Date
November 2019
ISBN
978-94-6252-829-1
ISSN
2589-4943
DOI
10.2991/pntim-19.2019.65How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Yang
AU  - Yang Mingshun
AU  - Wang Zhanjun
PY  - 2019/11
DA  - 2019/11
TI  - A Box Transformer Substation Fault Diagnosis Based on IoT
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 317
EP  - 320
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.65
DO  - 10.2991/pntim-19.2019.65
ID  - Yang2019/11
ER  -