Open AccessResearch on Denoising of Transformer Bushing Leads Based on IITD-WTD
Author(s) -
Kai Li,
Chenggang Hao,
Jiguo Zhang,
Woye Sun,
Xin Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012160
Subject(s) - bushing , noise reduction , ultrasonic sensor , wavelet , computer science , noise (video) , transformer , acoustics , vibration , algorithm , engineering , artificial intelligence , electrical engineering , physics , mechanical engineering , voltage , image (mathematics)
When conducting ultrasonic testing of transformer bushing leads, the detection accuracy is susceptible to noise, and it is difficult to accurately determine the state of the leads in the bushing. Aiming at the common noise pollution problem of casing ultrasonic echo signal, we propose an improved inherent time scale decomposition (IITD) and wavelet denoising (WTD) joint denoising algorithm. First, the ultrasonic echo signal is decomposed by improving the time scale; then, the wavelet denoising algorithm is used to remove the noise of each decomposed component; finally, simulation examples and experimental verification show that the signal-to-noise ratio is higher after denoising using the algorithm in the article, the average error is smaller, and the effective vibration information in the ultrasonic echo can be effectively retained. Therefore, the algorithm has certain practical value in engineering applications.