A Statistical State Analysis of a Marine Gas Turbine

Abstract

This paper describes the analysis, from a statistical point of view, of a maritime gas turbine, under various operating conditions, so as to determine its state. The data used concerns several functioning parameters of the turbines, such as temperatures and vibrations, environmental data, such as surrounding temperature, and past failures or quasi-failures of the equipment. The determination of the Mean Time Between Failures (MTBF) gives a rough estimate of the state of the turbine, but in this paper we show that it can be greatly improved with graphical and statistical analysis of data measured during operation. We apply the Laplace Test and calculate the gas turbine reliability using that data, to define the gas turbine failure tendency. Using these techniques, we can have a better estimate of the turbine’s state, and design a preventive observation, inspection and intervention plan.

Model predictive control for gas turbine shaft speed based on model compensation using extended state observer

“…The gas turbine studied in this article is the LM2500 industrial aero-derivative gas turbine, 22 which mainly consists of a high-pressure compressor (HPC), a combustion chamber, a high-pressure turbine (HPT), and a low-pressure turbine (LPT). As shown in Figure 1, the HPT is connected with the compressor by the high pressure shaft.…”

Real-Time Implementation of a New MPPT Control Method for a DC-DC Boost Converter Used in a PEM Fuel Cell Power System

“…During the last few years, several clean energy sources such as solar, wind, geothermal etc., have been developed to generate electric energy and replace conventional fuel [1][2][3][4][5][6][7]. However, these alternative sources necessitate sophisticated and high-cost technologies, and they are not suitable for many applications.…”