On a single GE gas turbine dataset, stacked denoising autoencoder features improved combustor anomaly detection ROC performance over 12 handcrafted features in 10 repeated 5-fold cross-validations.
feature engineering is another topic which doesn’t seem to merit any review papers or books, or even chapters in books
1 Pith paper cite this work. Polarity classification is still indexing.
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On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
On a single GE gas turbine dataset, stacked denoising autoencoder features improved combustor anomaly detection ROC performance over 12 handcrafted features in 10 repeated 5-fold cross-validations.