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Early detection of gear failure by vibration analysis i. calculation of the time-frequency distribution

โœ Scribed by W.J. Wang; P.D. McFadden

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
648 KB
Volume
7
Category
Article
ISSN
0888-3270

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โœฆ Synopsis

The application of the spectrogram to the calculation of the time-frequency distribution of a gear vibration signal is examined. The spectrogram represents the energy distribution of the signal over the frequency domain at every instant of time. The selection of the window function is discussed, and it is shown that the Gaussian function is well suited to the calculation of the energy distribution, giving a representation which is free from ripple and easy to interpret. The application of the energy distribution is demonstrated using numerically-generated test signals and the experimentally-measured time domain average of the gear meshing vibration from an industrial gearbox. The results suggest that the spectrogram may provide a powerful tool for the early detection of local gear damage.

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Early detection of gear failure by vibra
Early detection of gear failure by vibration analysis--ii. interpretation of the time-frequency distribution using image processing techniques
โœ W.J. Wang; P.D. McFadden ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 482 KB

A system is described which uses image processing techniques to assist in the automatic interpretation of gear vibration signatures for early failure detection and fault diagnosis. The vibration signature of an individual gear in a gearbox is extracted by the time domain synchronous averaging techni