Probabilistic prognostics and health management: A brief summary

Fisseha M. Alemayehu, Stephen Ekwaro-Osire

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

This chapter gives a brief summary of probabilistic prognostics and health management (PPHM) and presents a framework to implement PPHM to predict remaining useful life (RUL) of energy systems efficiently and with minimal uncertainty. The chapter also presents the way forward by indicating that an interdisciplinary research is critical so as consortium of multidiscipline experts will come together and discuss the implementation of the framework for enhanced RUL prediction. The prediction of RUL with minimal uncertainty will significantly lower or avoid the downtime of energy systems and thereby reduce the cost of energy. The reduction in cost will make renewable energy, like wind energy, cheaper.

Original languageEnglish
Title of host publicationProbabilistic Prognostics and Health Management of Energy Systems
PublisherSpringer International Publishing
Pages3-7
Number of pages5
ISBN (Electronic)9783319558523
ISBN (Print)9783319558516
DOIs
StatePublished - Apr 25 2017

Keywords

  • Probability
  • Prognostics and health management
  • Remaining useful life
  • Uncertainty

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  • Cite this

    Alemayehu, F. M., & Ekwaro-Osire, S. (2017). Probabilistic prognostics and health management: A brief summary. In Probabilistic Prognostics and Health Management of Energy Systems (pp. 3-7). Springer International Publishing. https://doi.org/10.1007/978-3-319-55852-3_1