Feature-based fault detection of industrial gas turbines using neural networks

Turkish Journal of Electrical Engineering and Computer Sciences

Volumn 21, Issue 5, 2013, Pages 1340-1350

  Rasaienia, Abbas ^a   Moshiri, Behzad ^b   Moezzi, Mohammadamin ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c Monenco Iran Consulting Engineers Company ^*  (Iran)

Author keywords

Fault detection; Feature extraction; Gas turbine; Neural network; Principle component analysis

Indexed keywords

FAULT DETECTION SYSTEMS; FAULT DETECTION TECHNIQUES; INDUSTRIAL GAS TURBINES; LEARNING VECTOR QUANTIZATION NETWORKS; MULTI LAYER PERCEPTRON; POWER GENERATION INDUSTRIES; POWER PLANT OPERATIONS; PRINCIPLE COMPONENT ANALYSIS;

FEATURE EXTRACTION; GAS TURBINES; NETWORK ARCHITECTURE; NEURAL NETWORKS; POWER PLANTS; PRINCIPAL COMPONENT ANALYSIS; VECTOR QUANTIZATION;

FAULT DETECTION;

EID: 84885672264     PISSN: 13000632     EISSN: 13036203     Source Type: Journal    
DOI: 10.3906/elk-1110-71     Document Type: Article

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