| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 03040 | |
| Number of page(s) | 5 | |
| Section | Algorithm Study and Mathematical Application | |
| DOI | https://doi.org/10.1051/matecconf/201823203040 | |
| Published online | 19 November 2018 | |
Application of Improved EMD Threshold Algorithm in the Study of the Electric Life State of the AC Contactor
1
Shenyang University of Technology, 110870, Shenyang, China
2
State Grid Liaoning Electric Power Co., Ltd. Anshan Power Supply Company, 114001, Anshan, China
3
Liaoning Provincial Electric Power Co., Ltd. Electric Power Research Institute, 110006, Shenyang, China
a Corresponding author: YipingBo301@163.com
The condition monitoring signal of electrical life of AC contactors has characteristics such as non-linear, non-stationary and strong background noise. The premise and basis for the accurate establishment of the assessment model of the electrical life of AC contactors is how to accurately extract the characteristic parameters of electrical life signals. Therefore, it is of great significance for the study of AC contactors’ electrical life to preproccess its characteristic parameters of electrical life signals. Adopting traditional soft and hard methods cannot remove the noise effectively, therefore, a new threshold function can be proposed, and further model the wavelet threshold denoising theory to research the threshold denoising method of empirical mode decomposition (EMD), denoise the main parameters which can influence the state of AC contactors. The experimental results show that adopting the improved EMD threshold algorithm can effectively remove the noise, and it is better than adopting wavelet threshold method or empirical mode decomposition alone
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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