A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
AbstractRotating machinery is widely applied in various types of industrial applications. As a promising field for reliability of modern industrial systems, early fault diagnosis (EFD) techniques have attracted increasing attention from both academia and industry. EFD is critical to provide appropriate information for taking necessary maintenance actions and thereby prevent severe failures and reduce financial losses. A massive amounts of research work has been conducted in last two decades to develop EFD techniques. This paper reviews and summarizes the research works on EFD of gears, rotors, and bearings. The main purpose of this paper is to serve as a guidemap for researchers in the field of early fault diagnosis. After a brief introduction of early fault diagnosis techniques, the applications of EFD of rotating machine are reviewed in two aspects: fault frequency-based methods and artificial intelligence-based methods. Finally, a summary and some new research prospects are discussed.
Share & Cite This Article
Wei, Y.; Li, Y.; Xu, M.; Huang, W. A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery. Entropy 2019, 21, 409.
Wei Y, Li Y, Xu M, Huang W. A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery. Entropy. 2019; 21(4):409.Chicago/Turabian Style
Wei, Yu; Li, Yuqing; Xu, Minqiang; Huang, Wenhu. 2019. "A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery." Entropy 21, no. 4: 409.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.