Prognostics and health management : A review on data driven approaches

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

  • Kwok L. Tsui
  • Nan Chen
  • Qiang Zhou
  • Yizhen Hai
  • Wenbin Wang

Detail(s)

Original languageEnglish
Article number793161
Journal / PublicationMathematical Problems in Engineering
Volume2015
Publication statusPublished - 2015

Link(s)

Abstract

Prognostics and health management (PHM) is a framework that offers comprehensive yet individualized solutions for managing system health. In recent years, PHM has emerged as an essential approach for achieving competitive advantages in the global market by improving reliability, maintainability, safety, and affordability. Concepts and components in PHM have been developed separately in many areas such as mechanical engineering, electrical engineering, and statistical science, under varied names. In this paper, we provide a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches. Real world examples have been provided to illustrate the implementation of PHM in practice.

Research Area(s)

Citation Format(s)

Prognostics and health management : A review on data driven approaches. / Tsui, Kwok L.; Chen, Nan; Zhou, Qiang; Hai, Yizhen; Wang, Wenbin.

In: Mathematical Problems in Engineering, Vol. 2015, 793161, 2015.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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