This comparison evaluates localized gear defect detection methods using vibration analysis, indicating their varying effectiveness and computational demands.
Defects on a gear alter the gear’s vibration through amplitude and phase modulations. This provides an opportunity to detect gear defects without interfering with the normal operation of gearboxes. This paper reports a comparative study of several new and existing localized gear defect detection schemes, including (1) residual signals, (2) narrow-band demodulation, (3) model-based wide-band demodulation, (4) time-frequency distribution, and (5) the energy operator. These schemes are described, and their effectiveness in gear defect detection and their demand on computational power are evaluated based on the vibration average of a gear which has chips of different sizes in two of its teeth.
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Ma et al. (1995) studied this question.
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