Bearing condition diagnostics via vibration and acoustic emission measurements

Mechanical Systems and Signal Processing

Volumn 11, Issue 5, 1997, Pages 693-705

  Shiroishi, J ^a   Li, Y ^a   Liang, S ^a   Kurfess, T ^a   Danyluk, S ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ACOUSTIC EMISSION TESTING; ADAPTIVE FILTERING; DEFECTS; SENSORS; SIGNAL PROCESSING; TRANSDUCERS; VIBRATION MEASUREMENT;

ADAPTIVE LINE ENHANCER; INNER RACE DEFECTS; OUTER RACE DEFECTS; SENSOR SIGNATURE ANALYSIS;

ROLLER BEARINGS;

EID: 0031234306     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.1997.0113     Document Type: Article

References (17)

1. O. G. GUSTAFFSON and T. TALLIAN 1962 ASME Transactions 5, 197-209. Detection of damage of assembled rolling element bearings.
2. R. MONK 1972 Process Engineering 53, 135-137. Vibration measurement gives early warning of mechanical faults.
3. R. J. ALFREDSON and J. MATHEW 1985 The Institution of Engineers, Australia, Mechanical Engineering Transactions 10, 102-107. Time domain methods for monitoring the condition of rolling element bearings.
4. R. J. ALFREDSON and J. MATHEW 1985 The Institution of Engineers, Australia, Mechanical Engineering Transactions 10, 108-112. Frequency domain methods for monitoring the condition of rolling element bearings.
5. M. CARNEY, A. MANN and J. GAGLIARDI 1994 Applied Acoustics 43, 333-351. Adaptive filtering of sound pressure signals for monitoring machinery in noisy environments.
6. A. DAADBIN and J. C. H. WONG 1991 International Journal of Mechanical Engineering Education 19, 295-304. Different vibration monitoring techniques and their application to rolling element bearings.
7. P. Y. KIM 1987 Journal of Propulsion and Power 3, 84-89. Proximity transducer technique for measuring health monitoring.
8. C. J. LI and J. MA 1992 Sensors and Signal Processing for Manufacturing, ASME PED 55, 187-196. Bearing localized defect detection through wavelet decomposition of vibrations.
9. H. R. MARTIN and F. HORNARVAR 1995 Applied Acoustics 44, 67-77. Application of statistical moments to bearing failure detection.
10. K. F. MARGIN and P. THORPE 1992 Wear 159, 153-160. Normalised spectra in monitoring of rolling bearing elements.
11. D. LAWRENTZ 1996 The Timken Company, Canton OH.
12. S. BRAUN and B. DATNER 1979 Journal of Mechanical Design Transactions 101, 118-125. Analysis of roller/ball bearing vibrations.
13. P. D. MCFADDEN and J. D. SMITH 1984 Tribology International 17, 1-18. Vibration monitoring of rolling element bearings by the high frequency resonance technique - a review.
14. Y.-T. SU and S.-J. LIN 1992 Journal of Sound and Vibrations 155, 75-84. On initial fault detection of a tapered rolling bearing: frequency domain analysis.
15. B. WIDROW et al. 1975 Proceedings of the IEEE 63, 1692-1716. Adaptive noise canceling: principles and applications.
16. J. R. TREICHLER 1979 IEEE Transactions on Acoustics, Speech, and Signal Processing ASSP-27, 53-62. Transient and convergent behavior of the adaptive line enhancer.
17. P. M. CLARKSON 1993 Optimal and Adaptive Signal Processing. Boca Raton, FL: CRC Press.