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Introduction to Data-Driven Methodologies for Prognostics and Health Management

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Probabilistic Prognostics and Health Management of Energy Systems

Abstract

This book chapter gives an overview of prognostics and health management (PHM) methodologies followed by a case study in the development of PHM solutions for wind turbines. Research topics in PHM are identified and commonly used methods are briefly introduced. The case study in wind turbine prognostics has shown in detail how to develop a PHM system for an industrial asset. With the advancement of sensing technologies and computational capability, more and more industrial applications are emerging. Current gaps and future directions in PHM are discussed at the end.

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Author information

Authors and Affiliations

  1. NSF I/UCRC for Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH, USA

    Jay Lee, Chao Jin, Zongchang Liu & Hossein Davari Ardakani

Authors
  1. Jay Lee
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  2. Chao Jin
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  3. Zongchang Liu
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  4. Hossein Davari Ardakani
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Corresponding author

Correspondence to Jay Lee .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Texas Tech University , Lubbock, Texas, USA

    Stephen Ekwaro-Osire

  2. Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Paulista , Centro, Ilha Solteira, São Paulo, Brazil

    Aparecido Carlos Gonçalves

  3. School of Engineering and Computer Science and Mathematics, West Texas A&M University, Canyon, Texas, USA

    Fisseha M. Alemayehu

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Lee, J., Jin, C., Liu, Z., Davari Ardakani, H. (2017). Introduction to Data-Driven Methodologies for Prognostics and Health Management. In: Ekwaro-Osire, S., Gonçalves, A., Alemayehu, F. (eds) Probabilistic Prognostics and Health Management of Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-55852-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-55852-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55851-6

  • Online ISBN: 978-3-319-55852-3

  • eBook Packages: EnergyEnergy (R0)

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