This paper proposes a denoising scheme through a hybrid approach, which uses a total variation denoising filter followed by a denoising autoencoder.
People also ask
How do you measure partial discharge in a transformer?
What is the detection method of partial discharge?
May 30, 2020 · This paper gives a new method which is based on Stacked Denoising Autoencoder Network (SDAE) for partial discharge. An SDAE model is established ...
Missing: Instrument | Show results with:Instrument
Partial Discharge Pattern Recognition Based on Stacked Denoising Autoencoder Network: Computer and AI Applications in Power Industry. December 2019.
Sep 26, 2023 · This paper proposes a denoising method for transformer partial discharge based on the Whale VMD algorithm combined with adaptive filtering and wavelet ...
Missing: Autoencoder | Show results with:Autoencoder
Jun 21, 2024 · The analysis of measuring equipment used in the collection of PD activity for the research into transformer partial discharge classification ...
Abstract: This paper presents an analysis of partial discarge (PD) signals in high voltage current transformers (HVCTs). Our approach centers on using a ...
Missing: Instrument | Show results with:Instrument
The denoising autoencoder (DAE) based machine learning approach has been used by many researchers in identifying the patterns of PD signals.
Rathod, Partial discharge detection and localization in power transformers based on acoustic emission: theory, methods, and recent trends, IETE Tech.
Missing: Instrument | Show results with:Instrument
This systematic literature review aims to systematically examine the use of machine learning techniques in classifying PD in transformers.
Jan 27, 2024 · This algorithm incorporates the design of a discrete wavelet denoising function specifically tailored to the characteristics of PD for data ...
Missing: Instrument | Show results with:Instrument