… opened up new opportunities to the field of gas turbine (GT) modelling. However, successful
… An important tool for enabling applications are the feature selection and feature learning (…

… Then, new features are created based on gas turbine domain knowledge in order to capture
… The sub-phases of feature extraction and feature selection aim at transforming and selecting …

… time-domain features of data and the ability to select an optional robust/… feature selection-aided
observer in which by using a proposed method the best features of sensors are selected …

… features that can be used for FE, eg the 14 features in Table 1. In order to select the most
suitable set of features for the IGT studies, an optimal feature selection scheme is proposed in …

… Since a large number of input sensors was used, feature selection and outlier identification
… In order to perform feature selection, we estimated the importance of each variable using …

… The development of industrial gas turbine (GT) fault detection configuration … features. In
fact, this diagram confirms the sufficiency of selecting 4 principal components as the 4 features …

… of the feature selection and feature engineering techniques, … regression models based
on feature engineering approaches and … In this study feature selection is applied by Feature …

… by a gas turbine, and faults are simulated such as Rubbing, Misalignment and Unbalance,
which occurred from a gas turbine … ) one of the feature selection algorithm is selected. Then, …

… gas turbine sensors. Input data for the research have been obtained from BHGE manufactured
and monitored gas turbines … In this article accumulated gas turbine operating service data …

… of gas turbine, the maintenance cost of gas turbine is … cost of the global industrial gas turbines
exceeded $18 billion in 2009 … −→ z can be selected for further quadratic entropy feature. …