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ThinkMind // INTELLI 2017, The Sixth International Conference on Intelligent Systems and Applications // View article intelli_2017_6_20_68019


Data Analysis for Early Fault Detection - On-line monitoring approach for heat exchanger in solar-thermal plant

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

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