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Authors:
Javier M. Mora-Merchan
Enrique Personal
Antonio Parejo
Antonio Garcia
Carlos Leon
Keywords: Predictive maintenance; fault detection; solar plant; data analysis
Abstract:
Nowadays, the reliability and robustness levels required for production systems are growing. These demands make philosophies, such as predictive maintenance essential in modern industry, among which the energy sector stands out. In this sense, this paper proposes an on-line monitoring system based on data mining models, which provides a useful tool to identify operation anomalies easily, being able to identify and prevent possible future failures. This approach has been applied successfully in a real case, where a performance analysis for the cooling systems of a solar-thermal power plant was implemented.
Pages: 93 to 97
Copyright: Copyright (c) IARIA, 2017
Publication date: July 23, 2017
Published in: conference
ISSN: 2308-4065
ISBN: 978-1-61208-576-0
Location: Nice, France
Dates: from July 23, 2017 to July 27, 2017