Fault detection and diagnosis of rotating machinery
Loparo, K.A.; Adams, M.L.; Lin, W.; Abdel-Magied, M.F.; Afshari, N.
Industrial Electronics, IEEE Transactions on
Volume 47, Issue 5, Oct 2000 Page(s):1005 - 1014
Digital Object Identifier   10.1109/41.873208
Summary: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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