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Anomaly Detection in Conditioning Procedures

In this report, we summarize our approach to find anomalies in conditioning procedures with an LSTM autoencoder. The data we used for our analysis was taken from experiments on high DC voltage breakdown between stainless steel electrodes separated by long vacuum gaps conducted at the High Voltage Pa...

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Detalles Bibliográficos
Autores principales: Hofmann-Wellenhof, Martin, Obermair, Christoph
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2827007
Descripción
Sumario:In this report, we summarize our approach to find anomalies in conditioning procedures with an LSTM autoencoder. The data we used for our analysis was taken from experiments on high DC voltage breakdown between stainless steel electrodes separated by long vacuum gaps conducted at the High Voltage Padova Test Facility.