Title :
Estimating Compressor Discharge Pressure of Gas Turbine Power Plant Using Type-2 Fuzzy Logic Systems
Author :
Pareek, Umesh ; Kar, I.N.
Author_Institution :
NTPC Ltd., New Delhi
Abstract :
This paper presents a successful demonstration of application of type-2 fuzzy logic systems (FLS) to predict a critical parameter of Gas Turbine in a power plant viz., the compressor discharge pressure. The loss of Compressor Discharge Pressure (CDP) measurement leads to loss of few megawatts electricity generation. It is also demonstrated here by way of comparison, that a type-2 FLS is more robust in the presence of noise uncertainties than a type-1 conventional FLS for this application. Results are verified through the practical plant data obtained from a 110 MW gas turbine power plant.
Keywords :
estimation theory; fuzzy logic; fuzzy set theory; fuzzy systems; gas turbine power stations; power engineering computing; pressure measurement; compressor discharge pressure measurement; gas turbine power plant; megawatt electricity generation; noise uncertainty; power 110 MW; type-2 fuzzy logic system; Artificial neural networks; Condition monitoring; Engines; Fault detection; Fuels; Fuzzy logic; Neural networks; Power generation; Temperature sensors; Turbines;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681780
