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基追蹤在齒輪損傷識別中的應用

Application of basis pursuit to gear damage detection

  • 摘要: 針對齒輪的振動特點,設計了復合過完備時頻字典,利用基追蹤方法在匹配信號特征結構、直接提取特征信息方面的優勢分析了齒輪箱的現場測試振動信號.根據基追蹤分解結果,在時頻聯合域內提取了齒輪局部損傷的周期性沖擊特征,識別了齒輪點蝕缺陷.與短時Fourier變換和小波變換等時頻分析方法進行了對比分析,驗證了基追蹤檢測齒輪損傷的有效性.

     

    Abstract: Regarding the characteristics of gear vibration, a compound over-complete time-frequency dictionary was designed. Basis pursuit, which is effective in matching the characteristic structure of signals globally and extracting the time-frequency information directly, was employed to analyze the vibration signals of both a healthy gearbox and a faulty one. Periodic impacts characterizing the vibration of localized damaged gears were extracted in the joint time-frequency domain, and gear tooth pitting was identified. In comparison with traditional time-frequency analysis methods, such as short time Fourier transform and wavelet transform, basis pursuit is effective in detecting gear damage.

     

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