The ability to diagnose a mechanical fault is enhanced if the monitoring signal can be preprocessed to reduce the effect of unwanted noise. To this end, the adaptive noise cancelling technique (ANC) can substantially improve the signal to noise ratio where the required signal is contaminated by noise. ANC makes use of two inputs—a primary input which contains the corrupted signal, and a reference input containing noise correlated in some unknown way with the primary noise. A variation of ANC is also proposed and it is shown that this can be applied effectively in those situations where inputs contain correlated signals but uncorrelated or weakly correlated noises. Using vibrational data derived from a reasonably complex bearing rig and preprocessing the data by the ANC technique, this paper shows that the statistical and spectral analysis techniques can be made more effective in their diagnostic roles after the application of ANC.
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April 1982
Research Papers
Bearing Fault Detection Using Adaptive Noise Cancelling
G. K. Chaturvedi
,
G. K. Chaturvedi
Department of Electronics, University of Southampton, Southampton, SO9 5NH, England
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D. W. Thomas
D. W. Thomas
Department of Electronics, University of Southampton, Southampton, SO9 5NH, England
Search for other works by this author on:
G. K. Chaturvedi
Department of Electronics, University of Southampton, Southampton, SO9 5NH, England
D. W. Thomas
Department of Electronics, University of Southampton, Southampton, SO9 5NH, England
J. Mech. Des. Apr 1982, 104(2): 280-289 (10 pages)
Published Online: April 1, 1982
Article history
Received:
June 3, 1981
Online:
November 17, 2009
Citation
Chaturvedi, G. K., and Thomas, D. W. (April 1, 1982). "Bearing Fault Detection Using Adaptive Noise Cancelling." ASME. J. Mech. Des. April 1982; 104(2): 280–289. https://doi.org/10.1115/1.3256337
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