Analysis and Prediction for the Voltage Spike of Power Cable based on the Regression Model
Authors
Wei Xia, Yongbin Bai, Fenghai Ding, Bin Qiu, Shenxiang Gao
Corresponding Author
Wei Xia
Available Online June 2016.
- DOI
- 10.2991/mecs-17.2017.82How to use a DOI?
- Keywords
- voltage spike, regression model, variance analysis, F-test.
- Abstract
In view of the problem that the test of spike signal in the power line is difficult to capture, and based on the theory of time - domain analysis of dynamic circuit, the influence factors of voltage spike test by using the maximum value of traditional multi - random test are studied. By means of the statistical analysis of the test data, a voltage spike prediction method based on linear regression model is proposed. According to the principle of correlation test of variance analysis, the validity of the regression model is verified. The accuracy of the prediction results is evaluated.
- Copyright
- © 2017, 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 - Wei Xia AU - Yongbin Bai AU - Fenghai Ding AU - Bin Qiu AU - Shenxiang Gao PY - 2016/06 DA - 2016/06 TI - Analysis and Prediction for the Voltage Spike of Power Cable based on the Regression Model BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.82 DO - 10.2991/mecs-17.2017.82 ID - Xia2016/06 ER -