Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

An Improved Method for Error Analysis of Intelligent Distribution Terminal

Authors
Wen-bo Fan, Si-ran Zuo, Jin-wei Fu, Zhong-yu Wang
Corresponding Author
Wen-bo Fan
Available Online February 2017.
DOI
https://doi.org/10.2991/icmeim-17.2017.57How to use a DOI?
Keywords
Error Analysis, Intelligent Distribution Terminal, Maximum Entropy, Measurement Uncertainty
Abstract
An improved maximum entropy method is proposed to detect the error for intelligent distribution terminal. Firstly, a constraint maximum entropy function of the measurement error is established by introducing the uncertainty of the detected data in the intelligent distribution terminal. Besides, the Lagrange multipliers of this function are improved by loop iterations. Subsequently, the error of intelligent distribution terminal is detected by parameter update strategy of the maximum entropy method. Finally, an electrostatic discharge test is carried out with the proposed method under the electromagnetic compatibility conditions. The experimental results show that this method is more suitable for error analysis in intelligent distribution terminal than conventional maximum entropy method and the Botev kernel density estimation method.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Part of series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmeim-17.2017.57How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wen-bo Fan
AU  - Si-ran Zuo
AU  - Jin-wei Fu
AU  - Zhong-yu Wang
PY  - 2017/02
DA  - 2017/02
TI  - An Improved Method for Error Analysis of Intelligent Distribution Terminal
BT  - 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.57
DO  - https://doi.org/10.2991/icmeim-17.2017.57
ID  - Fan2017/02
ER  -