International Journal of Fluid Machinery and Systems

Korean Society for Fluid machinery (한국유체기계학회)
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Machine Fault Diagnosis and Prognosis: The State of The Art

  • Tung, Tran Van (School of Mechanical Engineering, Pukyong National University) ;
  • Yang, Bo-Suk (School of Mechanical Engineering, Pukyong National University)
  • Received : 2008.10.05
  • Accepted : 2009.01.23
  • Published : 2009.03.01
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Abstract

Machine fault diagnostic and prognostic techniques have been the considerable subjects of condition-based maintenance system in the recent time due to the potential advantages that could be gained from reducing downtime, decreasing maintenance costs, and increasing machine availability. For the past few years, research on machine fault diagnosis and prognosis has been developing rapidly. These publications covered in the wide range of statistical approaches to model-based approaches. With the aim of synthesizing and providing the information of these researches for researcher's community, this paper attempts to summarize and classify the recent published techniques in diagnosis and prognosis of rotating machinery. Furthermore, it also discusses the opportunities as well as the challenges for conducting advance research in the field of machine prognosis.

Keywords

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