Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

Research on Denoising Method of Ice Thickness Model of Transmission Line Based on Gauss Distribution Model

Authors
Weiwei Yang, Xuemin An, Min Zhang, Huiping Zheng, Qi Yang
Corresponding Author
Weiwei Yang
Available Online November 2016.
DOI
https://doi.org/10.2991/icimm-16.2016.96How to use a DOI?
Keywords
Gauss Distribution; Denoising; Ice Thickness
Abstract

In order to predict the ice thickness of transmission line under future's meteorological factors, this paper puts forward a denoising method of ice thickness model of transmission line based on Gauss distribution model, with which an ice thickness model is built, and then the simulation graphics and performance of experimental data before and after denoising are compared. By analysis, it is proved that there is better denoising performance and more accurate simulation results in the process of denoising with Gauss distribution model, which can optimize the data denoising of icing thickness model of transmission line.

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 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-244-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/icimm-16.2016.96How 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  - Weiwei Yang
AU  - Xuemin An
AU  - Min Zhang
AU  - Huiping Zheng
AU  - Qi Yang
PY  - 2016/11
DA  - 2016/11
TI  - Research on Denoising Method of Ice Thickness Model of Transmission Line Based on Gauss Distribution Model
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 524
EP  - 528
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.96
DO  - https://doi.org/10.2991/icimm-16.2016.96
ID  - Yang2016/11
ER  -