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Asset management overview focusing on fault detection in industrial processes - A state of the art

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

The current energetic and economic context brings the need of a proper management of power generation facilities and components. This paper is intended to provide a wide view of the state of the art in asset management, with a special focus on fault detection and diagnosis. The different stages involved in asset management are defined and arranged as layers over the supervised process: Acquisition and pre-processing of data, fault detection, fault diagnosis and maintenance policies. Fault detection approaches are analysed in-depth, highlighting the main characteristics, the advantages and the drawbacks of each approach. Fault diagnosis techniques and maintenance policies are also described and analysed. A detailed bibliography on these topics is also provided.

Keywords: Asset management; Power generation facilities/components; fault detection/diagnosis

International Journal of COMADEM. Volume: 16 Issue: 2 Pages: 43-54

Published on paper: April 2013.

    Topics research:
  • *Artificial intelligence applied to maintenance diagnosis and reliability
  • *Forecasting and data mining
  • *Modeling, simulation and optimization

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