Cleaning Method for Status Monitoring Data of Power Equipment Based on Stacked Denoising Autoencoders

Cleaning Method for Status Monitoring Data of Power Equipment Based on Stacked Denoising Autoencoders

Currently, the cleaning process for power equipment monitoring data is cumbersome and often leads to loss of information. To address these problems, a data cleaning method based on stacked denoising autoencoder (SDAE) networks is proposed in this paper. SDAE networks have a strong ability to denoise...

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Bibliographic Details
Main Authors: Jiejie Dai, Hui Song, Gehao Sheng, Xiuchen Jiang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Power equipment
status data
data cleaning
stacked denoising autoencoders
anomaly detection
Online Access:https://ieeexplore.ieee.org/document/8016320/

Internet

https://ieeexplore.ieee.org/document/8016320/

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