Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

Anomaly Diagnosis Analysis for Running Meter Based on BP Neural Network

Authors
Zhengye Wang, Gangjun Gong, Yafeng Wen
Corresponding Author
Zhengye Wang
Available Online September 2016.
DOI
10.2991/cimns-16.2016.23How to use a DOI?
Keywords
BP neural network; electric meter; anomaly diagnosis
Abstract

Smart meters is important equipment in the electric information acquisition system, it is the terminal equipment on the user side to realize information collection, energy metering and other functions. However, because of maintenance workload greatly, artificial detection can't meet the need. In this paper, anomaly diagnosis analysis for running meter is proposed, by dealing with data collected, setting up diagnosis model, realize maintain for smart meter.

Copyright
© 2016, 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 2016 International Conference on Communications, Information Management and Network Security
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-247-3
ISSN
2352-538X
DOI
10.2991/cimns-16.2016.23How to use a DOI?
Copyright
© 2016, 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  - Zhengye Wang
AU  - Gangjun Gong
AU  - Yafeng Wen
PY  - 2016/09
DA  - 2016/09
TI  - Anomaly Diagnosis Analysis for Running Meter Based on BP Neural Network
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 90
EP  - 92
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.23
DO  - 10.2991/cimns-16.2016.23
ID  - Wang2016/09
ER  -