Rotordynamic Faults : Recent Advances in Diagnosis and Prognosis
Joint Authors
Walker, Ryan
Perinpanayagam, Sureshkumar
Jennions, Ian K.
Source
International Journal of Rotating Machinery
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Diagnosis and condition monitoring in rotating machinery has been a subject of intense research for the last century.
Recent developments indicate the drive towards integration of diagnosis and prognosis algorithms in future integrated vehicle health management (IVHM) systems.
With this in mind, this paper concentrates on highlighting some of the latest research on common faults in rotating machines.
Eight key faults have been described; the selected faults include unbalance, misalignment, rub/looseness, fluid-induced instability, bearing failure, shaft cracks, blade cracks, and shaft bow.
Each of these faults has been detailed with regard to sensors, fault identification techniques, localization, prognosis, and modeling.
The intent of the paper is to highlight the latest technologies pioneering the drive towards next-generation IVHM systems for rotating machinery.
American Psychological Association (APA)
Walker, Ryan& Perinpanayagam, Sureshkumar& Jennions, Ian K.. 2013. Rotordynamic Faults : Recent Advances in Diagnosis and Prognosis. International Journal of Rotating Machinery،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-503761
Modern Language Association (MLA)
Walker, Ryan…[et al.]. Rotordynamic Faults : Recent Advances in Diagnosis and Prognosis. International Journal of Rotating Machinery No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-503761
American Medical Association (AMA)
Walker, Ryan& Perinpanayagam, Sureshkumar& Jennions, Ian K.. Rotordynamic Faults : Recent Advances in Diagnosis and Prognosis. International Journal of Rotating Machinery. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-503761
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-503761