Gas turbine sensor validation through classification with artificial neural networks

Applied Energy

Volumn 88, Issue 11, 2011, Pages 3898-3904

  Palmé, Thomas ^a   Fast, Magnus ^b   Thern, Marcus ^b  

^a UNIVERSITY OF STAVANGER   (Norway)

^b LUND UNIVERSITY   (Sweden)

Author keywords

Artificial neural network; Classification; Gas turbine; Sensor validation

Indexed keywords

CALIBRATION; GAS PLANTS; GAS TURBINE POWER PLANTS; GAS TURBINES; MAINTAINABILITY; SENSORS; TURBOMACHINERY;

A PLANTS; ARTIFICIAL NEURAL NETWORK; EARLY DETECTION; MONITORING AND CONTROL; SENSOR ACCURACY; SENSOR DRIFT; SENSOR FAULT; SENSOR READINGS; SENSOR VALIDATION; SOFT MEASUREMENT; WORST CASE;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CLASSIFICATION; COST-BENEFIT ANALYSIS; POWER PLANT; SENSOR; TURBINE;

EID: 79959845186     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.03.047     Document Type: Article

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