On-Line Fault Diagnosis of Main Reducer Based on the Noise Characteristic Parameters

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Abstract:

The noise of main reducer is the radiant energy of its structure vibration in the air. There are abundant running messages in its noise and this can be used as an important index to evaluate its assembly quality. The noise of main reducer is detected on-line and the gained noise signal is dealt with and analyzed. Dimensionless parameters in time/frequency domain and wave packet frequency band energy are extracted from vibration signals as the evaluation indexes of the fault diagnosis to the implementing of on-line diagnosis based on the pattern recognition. The availability of this method is demonstrated by the experiments.

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161-167

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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