Multi-Type Missing Imputation of Time-Series Power Equipment Monitoring Data Based on Moving Average Filter–Asymmetric Denoising Autoencoder

Supervisory control and data acquisition (SCADA) systems are widely utilized in power equipment for condition monitoring. For the collected data, there generally exists a problem—missing data of different types and patterns. This leads to the poor quality and utilization difficulties of the collecte...

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Hauptverfasser:	Ling Jiang, Juping Gu, Xinsong Zhang, Liang Hua, Yueming Cai
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-12-01
Schriftenreihe:	Sensors
Schlagworte:	power equipment monitoring data multi-type missing data imputation asymmetric denoising autoencoder moving average filter
Online-Zugang:	https://www.mdpi.com/1424-8220/23/24/9697
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