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Ensemble Learning Approach to the Prediction of Gas Turbine Trip
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the field of gas turbine (GT) monitoring and diagnostics, GT trip is of great concern for manufactures and users. In fact, due to the number of issues that may cause a trip, its occurrence is not infrequent, and its ...
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: One of the most disrupting events that affect gas turbine (GT) operation is trip, since its occurrence reduces machine life span and also causes business interruption. Thus, early detection of incipient symptoms of GT trip ...
Methodology to Monitor Early Warnings Before Gas Turbine Trip
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The current energy scenario requires that gas turbines (GTs) operate at their maximum efficiency and highest reliability. Trip is one of the most disrupting events that reduces GT availability and increases maintenance ...
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The prediction of gas turbine (GT) future health state plays a strategic role in the current energy sector. However, training an accurate prognostic model is challenging in case of limited historical data (e.g., new ...
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems, and Energy Storage Technologies
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Hybrid energy plants (HEPs), which include both fossil fuel technologies and renewable energy systems, can provide an important step toward a sustainable energy supply. In fact, the hybridization of renewable energy systems ...
Statistical Rule Extraction for Gas Turbine Trip Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Gas turbine trip is an operational event that arises when undesirable operating conditions are approached or exceeded, and predicting its onset is a largely unexplored area. The application of novel artificial intelligence ...
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: At present, the challenges related to energy market force gas turbine owners to improve the reliability and availability of gas turbine engines, especially in the ever competitive Oil and Gas sector. Gas turbine trip leads ...
Analysis of a MultiGeneration Renewable Energy System With HydrogenFueled Gas Turbine
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Solar energy is considered one of the most affordable renewable resources for meeting current energy demands and mitigating environmental problems. However, the exploitation of solar energy is challenging because of both ...
Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A gas turbine trip is an unplanned shutdown, of which the most relevant consequences are business interruption and a reduction of equipment remaining useful life. Thus, understanding the underlying causes of gas turbine ...
Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Sensor fault detection and classification is a key challenge for machine monitoring and diagnostics, since raw data cleaning represents a key process in the gas turbine industry. To this end, this paper presents a comprehensive ...
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