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Project information

Power generation asset management based on continuous life monitoring in the new context of high renewable energy penetration

M.A. Sanz-Bobi A. Muñoz J.A. García Matos

October 2010 - September 2012

Funding entity Iberdrola


In this PhD project a model for anomaly detection and diagnosis in industrial processes and components of the energetic sector will be developed. Its major advantage will be to anticipate anomaly’s evolution, what involves a major shift in asset management. The proposed model will also anticipate the impact of these anomalies, both failures and efficiency losses. This will ensure the reliability and quality of the service while avoiding the economic, social and environmental costs resulting from power cuts, accidents or loss of energy efficiency that can cause failures in a power generation plant.


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