A Comprehensive Approach for Detection, Classification, and Integrated Diagnostics of Gas Turbine Sensors

Giuseppe Fabio Ceschini
Giuseppe Fabio Ceschini
Nicolò Gatta
Nicolò Gatta
Alin Murarasu
Alin Murarasu

JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, pp. 0324022018.

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摘要

Anomaly detection in sensor time series is a crucial aspect for raw data cleaning in gas turbine (GT) industry. In addition to efficiency, a successful methodology for industrial applications should be also characterized by ease of implementation and operation. To this purpose, a comprehensive and straightforward approach for detection, c...更多

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