Machine Learning Approaches for the Prediction of Gas Turbine Transients
Arnaud Nguembang Fadja,
Giuseppe Cota,
Francesco Bertasi
et al.
Abstract:Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations not only helps to take corrective measures to avoid service unavailability but also eases the process of maintenance and considera… Show more
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