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/).
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 -