Automatic Power Quality Disturbance Diagnosis Based on Residual Denoising Convolutional Auto-Encoder
With the increasing integration of non-linear electronic loads, the diagnosis and classification of power quality are becoming crucial for power grid signal management. This paper presents a novel diagnosis strategy based on unsupervised learning, namely residual denoising convolutional auto-encoder...
Main Authors: | Jie Liu, Qiu Tang, Wei Qiu, Jun Ma, Yuhong Qin, Biao Sun |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/16/7637 |
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