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Anomaly detection of a cooling water pump of a power plant based on its virtual digital twin constructed with deep learning techniques
Sanz Bobi, Miguel Ángel; Orbach, Sarah; Bellido López, Francisco Javier; Muñoz San Roque, Antonio; González Calvo, Daniel; Álvarez Tejedor, TomásThis paper aims to explore the use of recent approaches of deep learning techniques for anomaly detection of potential failure modes in a cooling water pump working in a gas-combined cycle in a power plant. Two different ...