Research on the method of planetary gearbox feature extraction and  condition recognition based on EMD and EDT

LI Hai-ping,ZHAO Jian-min, SONG Wen-yuan

Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (3) : 48-54.

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PDF(1980 KB)
Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (3) : 48-54.

Research on the method of planetary gearbox feature extraction and  condition recognition based on EMD and EDT

  • LI Hai-ping,ZHAO Jian-min, SONG Wen-yuan
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Abstract

Aim at the difficulties of planetary gearbox feature extraction and condition recognition, this paper summarizes 36 suitable feature parameters for planetary gearbox condition recognition and introduces the origin and extraction method of each parameter. And proposes a two-stage characteristic parameters selection and weighted method based on EDT and get a new combination characteristic parameter. An IMF selection method is proposed based on energy ratio. And then a planetary gearbox condition recognition method is proposed based on EMD and EDT. First, extract the new combination feature parameter of each selected IMF and constitute the characteristic matrix as the input of EDT calculating, and then output the evaluation results intelligently. Planetary gearbox introduced fault experiment data is utilized to validate the effectiveness of the proposed method and the necessity of EMD, feature selection and weighting.

Key words

planetary gearbox / feature extraction / condition recognition / EMD / EDT

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LI Hai-ping,ZHAO Jian-min, SONG Wen-yuan. Research on the method of planetary gearbox feature extraction and  condition recognition based on EMD and EDT[J]. Journal of Vibration and Shock, 2016, 35(3): 48-54

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