DETECTION OF GEAR FAULTS BY DECOMPOSITION OF MATCHED DIFFERENCES OF VIBRATION SIGNALS

Author:

MCFADDEN P.D.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference9 articles.

1. A revised model for the extraction of periodic waveforms by time domain averaging;MCFADDEN;Mechanical Systems and Signal Processing,1987

2. A signal processing technique for detecting local defects in a gear from the signal average of the vibration;MCFADDEN;Proceedings of the Institution of Mechanical Engineers,1985

3. Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration;MCFADDEN;ASME Transactions Journal of Vibration Acoustics Stress and Reliability in Design,1986

4. Examination of a technique for the early detection of failure in gears by signal processing of the time domain average of the meshing vibration;MCFADDEN;Mechanical Systems and Signal Processing,1987

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

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