Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring

arXiv:2404.16496v1 Announce Type: new
Abstract: We provide a condition monitoring system for wind farms, based on normal behaviour modelling using a probabilistic multi-layer perceptron with transfer learning via fine-tuning. The model predicts the output power of the wind turbine under normal behaviour based on features retrieved from supervisory control and data acquisition (SCADA) systems. Its advantages are that (i) it can be trained with SCADA data of at least a few years, (ii) it can incorporate all SCADA data of …

abstract acquisition arxiv control cs.lg data farms features fine-tuning layer modelling monitoring normal perceptron power stat.ap transfer transfer learning type via wind