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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2827007 |
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. |
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