Fault detection and diagnosis of rotating machinery
Loparo, K.A.
Adams, M.L.
Lin, W.
Abdel-Magied, M.F.
Afshari, N.
Case Western Reserve Univ., Cleveland, OH;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Oct 2000
Volume: 47,
Issue: 5
On page(s): 1005-1014
ISSN: 0278-0046
References Cited: 12
CODEN: ITIED6
INSPEC Accession Number: 6729429
Digital Object Identifier: 10.1109/41.873208
Current Version Published: 2002-08-06
Abstract
A model-based approach to the detection and diagnosis of
mechanical faults in rotating machinery is studied in this paper. For
certain types of faults, for example, raceway faults in rolling element
bearings, an increase in mass unbalance, and changes in stiffness and
damping, algorithms suitable for real-time implementation are developed
and evaluated using computer simulation
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