MATEC Web of Conferences
Volume 55, 20162016 Asia Conference on Power and Electrical Engineering (ACPEE 2016)
|Number of page(s)||6|
|Section||Fault Diagnostic and Fault-Tolerant Power Converters|
|Published online||25 April 2016|
Research on De-noising of Fault Signal Based on Improved Multi-wavelets
1 Air Defense and Antimissile Institute, Air Force Engineering University, Xi’an, 710051, China
2 The 302ed Institute of the Tenth Academy of China Aerospace Science & Industry Corporation ; Guiyang 550009, China
3 School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
a Corresponding author: email@example.com
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ratio with multi-wavelets which need little prior knowledge and are uninfluenced by waveform matching. Here, this paper determines the wavelet basis through contrast experiment, and the decomposition level is confirmed by the principles of making noise fraction from details and making low energy from general picture, threshold is ensured by the method of midpoint optimization. The simulation shows that this method can enhance signal to noise ratio obviously.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.