Abstract: This paper presents an analysis of the uncertainties in the determination of gas turbine health, which arise by using a method of gas path analysis. This method uses field measurements to ...

Abstract: A multistage compressor test facility, fully instrumented with a dedicated data acquisition and processing system, has been developed to conduct experimental research work at the University of ...

Abstract: In the present paper, a comprehensive and simple in application design methodology to obtain a gas turbine working on recuperated, intercooled, and reheat cycle utilizing existing gas turbines ...

Abstract: Gas turbine operating state determination consists of the assessment of the modification due to deterioration and fault of performance and geometric data characterizing machine components. One of ...

Abstract: In the paper, neural network (NN) models for gas turbine diagnostics are studied and developed. The analyses carried out are aimed at the selection of the most appropriate NN structure for ...

Abstract: In the paper, neuro-fuzzy systems (NFSs) for gas turbine diagnostics are studied and developed. The same procedure used previously for the setup of neural network (NN) models (, , , and , ...

Abstract: In this paper, a calculation code, developed in house by the authors, able to evaluate the performance of a gas turbine with all possible fogging strategies (high pressure fogging, overspray, ...

Abstract: The correct form of the equation which defines ηC (reported on p. 10, first column, line 2 of the printed version) is the following:ηC=h(T0(n+1)s)−h(T01)h(T0(n+1))−h(T01)

Abstract: The process, which includes production, collection, carriage, and transformation of biomass into renewable fuels and then into energy (both electrical and thermal), involves a large number of ...

Abstract: At present, inlet fogging and wet compression are two of the most widely used approaches to enhance gas turbine performance, especially during hot seasons. However, potentially negative effects ...