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作者:

Gao, LX (Gao, LX.) | Zhang, JY (Zhang, JY.) | Cui, LL (Cui, LL.) (学者:崔玲丽) | Zhang, XS (Zhang, XS.)

收录:

CPCI-S

摘要:

There is micro shock signal lower than 0.01 Hz in the low-speed and heavy-duty gearbox and it is difficult to extract. It has become a difficult problem for the fault diagnosis. In this article, the trend graphs of the saltation coefficient of wavelet analysis and indirect diagnosis were used to extract the fault feature on the early stage. The results showed that these methods were very effective and could provide the determination basis for the predictive maintenance.

关键词:

diagnosis feature extract gear box wavelet analysis

作者机构:

  • [ 1 ] Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100022, Peoples R China

通讯作者信息:

  • [Gao, LX]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100022, Peoples R China

电子邮件地址:

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来源 :

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2005, VOLS 1 AND 2

年份: 2005

页码: 429-433

语种: 英文

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