Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise–Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty

Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise–Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty

In order to solve low-quality problems such as data anomalies and missing data in the condition monitoring data of hydropower units, this paper proposes a monitoring data quality enhancement method based on HDBSCAN-WSGAIN-GP, which improves the quality and usability of the condition monitoring data...

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Bibliographic Details
Main Authors: Fangqing Zhang, Jiang Guo, Fang Yuan, Yuanfeng Qiu, Pei Wang, Fangjuan Cheng, Yifeng Gu
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
HDBSCAN
WSGAIN
GP
hydropower unit
condition monitoring data
data enhancement
Online Access:https://www.mdpi.com/1424-8220/24/1/118

Internet

https://www.mdpi.com/1424-8220/24/1/118

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