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International Journal of Rotating Machinery
Volume 5, Issue 1, Pages 35-40

Integrated Diagnostics and Prognostics of Rotating Machinery

Office of Naval Research, ONR333, Mechanics & Energy Conversion Division, 800 North Quincy Street, Arlington 22217-5600, VA, USA

Received 9 April 1998; Revised 10 May 1998

Copyright © 1999 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper provides an overview of current research efforts in integrated diagnostics and prognostics of rotating machinery. Specifically, the following topics are discussed: sensing techniques and sensors; signal detection, identification and extraction; classification of faults; predictive failure models; data/model fusion; information management; and man–machine interface. Technical issues, recommendations, and future research directions are also addressed.