Detection of gear faults by decomposition of matched differences of vibration signals

Mechanical Systems and Signal Processing

Volumn 14, Issue 5, 2000, Pages 805-817

  McFadden, P D ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; MACHINE VIBRATIONS; VIBRATION CONTROL;

GEAR FAULTS; MATCHED DIFFERENCES; SYNCHRONOUS AVERAGES;

HELICAL GEARS;

EID: 0034268249     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.2000.1318     Document Type: Article

References (9)

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2. MCFADDEN P. D., SMITH J. D. A signal processing technique for detecting local defects in a gear from the signal average of the vibration. Proceedings of the Institution of Mechanical Engineers. 199:1985;287-292.
3. MCFADDEN P. D. Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration. ASME Transactions Journal of Vibration Acoustics Stress and Reliability in Design. 108:1986;165-170.
4. MCFADDEN P. D. Examination of a technique for the early detection of failure in gears by signal processing of the time domain average of the meshing vibration. Mechanical Systems and Signal Processing. 1:1987;173-183.
5. J. G. COOK, P. D. MCFADDEN, 1996, Report OUEL 2095/96. Department of Engineering Science, Oxford University, A best-fit rotation and amplitude alignment method for independently generated gear vibration data files.
6. STOCKWELL R. G., MANSINHA L., LOWE R. P. Localization of the complex spectrum: the S transform. IEEE Transactions on Signal Processing. 44:1996;998-1001.
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9. G. T. ZHENG, P. D. MCFADDEN, 1994, Report OUEL 2036/94. Department of Engineering Science, Oxford University, Windowed Fourier transform of mechanical vibration signals.