This paper introduces a fuzzy sensor validation and fusion methodology and applies it to sensor data from a gas turbine power plant. The FUSVAF (Fuzzy Sensor Validation and Fusion) algorithm tackles two problems: (1) It filters out noise from measurements provided as input to a gas turbine controller to maximize power plant performance. (2) It compensates for sensor failure to allow the power p...

Recently, we have completed the development of an The ability to obtain quantitative planar laserincorporates a production fuel injector and is capable of induced fluorescence (PLIF) measurements in a highoperating at pressures up to 50 atm with preheated air. pressure combustor would represent a significant This facility allows laser-based imaging techniques to be advance in the application of...

In this paper, the statistical analyses are presented to study the thermal efficiency and power output of gas turbine (GT) power plants. For analyzing gas turbine operation and performance, a novel approach is developed utilizing the response surface methodology (RSM) which is based on the central composite design (CCD) method. An attempt is made to study the effect of some operational factors ...

Comprehensive upgrades of gas turbine involve the replacement of “flange-to-flange” parts with more advanced designs. Because late-model gas turbines already incorporate advanced technology, these comprehensive upgrades apply only to older gas turbines that are part of a series or model line that the original equipment manufacturer (OEM) has redesigned. Examples of these model lines include the...

Gas turbine inlet fogging and overspray (high-fogging) have been considered the most cost-effective means of boosting a gas turbine’s total power output, especially under hot or dry weather conditions. The result of employing fogging or overspray is indisputably clear − total power output is increased; however, development of the theory and explanation of the phenomena associated with fogging a...

A fuzzy system is developed using a linearized performance model of the gas turbine engine for performing gas turbine fault isolation from noisy measurements. By using a priori information about measurement uncertainties and through design variable linking, the design of the fuzzy system is posed as an optimization problem with low number of design variables which can be solved using the geneti...

SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be visually presented in a single graphical display. SumTime-Turbine is based on pattern detection, knowledge-based temporal abstraction (KBTA), and natural language generation (NLG) technology. A prototype version of the system has...

This paper shows an improvisation for gas turbine power plants. It incorporates a hydraulic compressor to compress air prior to combustion. The aim is to reduce in-house consumption of the power generated in the turbine, thus increasing the overall efficiency of the power plant. The proposed compressor could also be used in different scenarios.

In this paper, a recurrent fuzzy-neural network (RFNN) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. Since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...