首页|Data on Sensor Research Detailed by a Researcher at Universidad Nacional de Ingenieria (Uncertainty Evaluation of a Gas Turbine Model Based on a Nonlinear Autoregressive Exogenous Model and Monte Carlo Dropout)
Data on Sensor Research Detailed by a Researcher at Universidad Nacional de Ingenieria (Uncertainty Evaluation of a Gas Turbine Model Based on a Nonlinear Autoregressive Exogenous Model and Monte Carlo Dropout)
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By a News Reporter-Staff News Editor at Network Daily News - A new studyon sensor research is now available. According to news originating from Lima, Peru, by NewsRx editors,the research stated, “Gas turbines are thermoelectric plants with various applications, such as large-scaleelectricity production, petrochemical industry, and steam generation.”Funders for this research include Universidad Nacional De Ingenieria, Lima-peru.The news editors obtained a quote from the research from Universidad Nacional de Ingenieria: “In orderto optimize the operation of a gas turbine, it is necessary to develop system identification models thatallow for the development of studies and analyses to increase the system’s reliability. Current strategiesfor modeling complex and non-linear systems can be based on artificial intelligence techniques, usingautoregressive neural networks of the NARX and LSTM type. In this context, this work aims to develop amodel of a gas turbine capable of estimating the rotation speed of the turbine and simultaneously estimatingthe uncertainty associated with the estimation.”
Universidad Nacional de IngenieriaLimaPeruSouth AmericaNetworksNeural NetworksSensor ResearchTechnology
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