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Analysis of Gas Turbine Compressor Performance after a Major Maintenance Operation Using an Autoencoder Architecture
ArticleAbstract: Machine learning algorithms and the increasing availability of data have radically changed the way hPalabras claves:Artificial Intelligence, Autoencoder, compressor, condition assessment, Gas turbineAutores:Cecilio Angulo Bahón, de Castro-Cros M., Velasco M.Fuentes:scopusCondition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder
ArticleAbstract: Maintenance is the process of preserving the good condition of a system to ensure its reliability anPalabras claves:Artificial Intelligence, Autoencoder, condition assessment, Gas turbine, Soft sensorAutores:Bahilo E., Cecilio Angulo Bahón, de Castro-Cros M., Rosso S., Velasco M.Fuentes:scopusMachine-learning-based condition assessment of gas turbines—a review
ArticleAbstract: Condition monitoring, diagnostics, and prognostics are key factors in today’s competitive industrialPalabras claves:Artificial Intelligence, condition assessment, Gas turbine, Machine learning, Soft sensorAutores:Cecilio Angulo Bahón, de Castro-Cros M., Velasco M.Fuentes:scopus