International Journal of Fluid Machinery and Systems
Online ISSN : 1882-9554
ISSN-L : 1882-9554
Review Papers
Machine Fault Diagnosis and Prognosis: The State of The Art
Tran Van TungBo-Suk Yang
Author information
JOURNALS FREE ACCESS

2009 Volume 2 Issue 1 Pages 61-71

Details
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.

Information related to the author

This article cannot obtain the latest cited-by information.

© 2009 Turbomachinery Society of Japan, Korean Fluid Machinery Association, Chinese Society of Engineering Thermophysics, IAHR
Previous article Next article
feedback
Top