关键词: 齿轮, 裂纹, 双谱熵, 非高斯性

Abstract:

Due to gear crack leads to the change of non-Gaussian characteristics of vibration signals,bispectral entropy was proposed to deal with the signals and quantitatively describe the distribution morphology of non-Gaussian components in
bifrequency domain.The fault information was extracted by this method,and the feature
trend of gear crack in its generation and extension period was obtained.The results show
that,bispectral entropy is not based on the information of signal energy,and it is less influenced by the non-fault factors.Meanwhile it can inhibit the Gaussian noise efficiently and
be sensitive to the weak fault.So bispectral entropy supplies a new efficient path for
the follow-up fault diagnosis and trend prediction.

Key words: gear, crack, bispectral entropy, non-Gaussian characteristic