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Systematic Design of Prognostics and Health Management Solutions for Energy Applications

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  • First Online:
Engineering Asset Management 2011

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Nowadays, energy has become a key issue in all sectors of industry. Analytical tools in the prognostics and health management (PHM) area are needed to transform energy and related data into actionable information. The IMS Center has developed corresponding solutions for energy generation, storage, and usage applications. The Watchdog Agent® toolbox techniques are applied in a systematic way in each application to address the development of advanced predictive tools for near-continuous uptime of energy generating assets; mobility readiness and safety for next-generation electric vehicles via the Smart Battery Agent; and the application of low-cost, nonintrusive predictive solutions using equipment energy consumption. In this paper, methodologies and case studies in the three categories are presented.

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References

  1. Abuali M, Zhao W, Lee J (2011) Systematic framework for non-intrusive prognostics and health management (NI-PHM) using energy analytics. In: Proceedings of the 24th international congress on condition monitoring and diagnostics engineering management (COMADEM), Stavanger, Norway, 30 May–1 June 2011

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Authors and Affiliations

  1. Center for Intelligent Maintenance Systems, University of Cincinnati, Cincinnati, USA

    M. Abuali, E. R. Lapira, W. Zhao, D. Siegel, M. Rezvani & J. Lee

Authors
  1. M. Abuali
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  2. E. R. Lapira
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  3. W. Zhao
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  4. D. Siegel
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  5. M. Rezvani
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  6. J. Lee
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Corresponding author

Correspondence to M. Abuali .

Editor information

Editors and Affiliations

  1. Dept. Mechanical, Industrial & Nuclear Engineering (MINE), University of Cincinnati College of Engineering, Cincinnati, Ohio, USA

    Jay Lee

  2. University of Michigan Dept. Mechanical Engineering, Ann Arbor, Michigan, USA

    Jun Ni

  3. Missouri University of Technology, Rolla, USA

    Jagnathan Sarangapani

  4. Management (CIEAM), Queensland University of Technology Centre for Integrated Engineering Asset, Brisbane, Queensland, Australia

    Joseph Mathew

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© 2014 Springer-Verlag London

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Abuali, M., Lapira, E.R., Zhao, W., Siegel, D., Rezvani, M., Lee, J. (2014). Systematic Design of Prognostics and Health Management Solutions for Energy Applications. In: Lee, J., Ni, J., Sarangapani, J., Mathew, J. (eds) Engineering Asset Management 2011. Lecture Notes in Mechanical Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4993-4_22

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  • DOI: https://doi.org/10.1007/978-1-4471-4993-4_22

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4992-7

  • Online ISBN: 978-1-4471-4993-4

  • eBook Packages: EngineeringEngineering (R0)

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