AI-Based System Identification of V۹۴.۲ Gas Turbine

This paper aims to propose and perform an intelligent identification of a V۹۴.۲ gas turbine with ۱۶۲.۱ MW of nominal power and a frequency of ۵۰ Hz, established in the Kermanshah Power Plant in Kermanshah, Iran. This paper's dataset was recorded in the Monitoring and Control Department for almost four hours of turbine working in the power plant's operational-cycle. The study system was decomposed based on the number of outputs (۳ for V۹۴.۲) to simplify identification. The dependency relationship between each of the outputs to each input and other outputs was then determined using correlation analysis. The simulation results were notable for the three main outputs with high-precise fitness values over ۹۷% to ۹۹% for the system

کلیدواژه ها:

Gas Turbine ، System Identification ، Neuro-Fuzzy ، ANFIS ، Intelligent Identification