Anomaly Diagnosis Analysis for Running Meter Based on BP Neural Network

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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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  -