Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, pp. 0324012018.
Statistical parametric methodologies are widely employed in the analysis of time series of gas turbine (GT) sensor readings. These methodologies identify outliers as a consequence of excessive deviation from a statistical-based model, derived from available observations. Among parametric techniques, the k-sigma methodology demonstrates it...More
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