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Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source

Cencillo, Alberto D. et al.
arXiv (All) · Papers
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machine-learning
Time series anomaly detection is central to monitoring industrial and scientific equipment, where anomalous sensor readings can precede failures. As such equipment usually carries several sensors, a detector must also decide how to model the dependencies between channels. In many physical systems, n
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