Adaptive wavelet transform method to identify cracks in gears

Authors:
Ales Belsak;Joze Flasker
Affiliations:
Laboratory for Computer Aided Engineering, Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia;Laboratory for Computer Aided Engineering, Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Year:
2010

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Abstract

Many damages and faults can cause problems in gear unit operation. A crack in the tooth root is probably the least desirable among them. It often leads to failure of gear unit operation. By monitoring vibrations, it is possible to determine the presence of a crack. Signals are, however, very noisy. This makes it difficult to define properties of individual components. Wavelet analysis is an effective tool for analysing signals and for defining properties. In this paper, a denoising method based on wavelet analysis, which takes prior information about impulse probability density into consideration, is used to identify transient information from vibration signals of a gear unit with a fatigue crack in the tooth root.