1548. An offline fault diagnosis method for planetary gearbox based on empirical mode decomposition and adaptive multi‑scale morphological gradient filter
Haiping Li1, Jianmin Zhao2, Wenyuan Song3, Hongzhi Teng4
1, 2, 3, 4Mechanical Engineering College, Shijiazhuang, 050003, China
4Lanzhou Maintenance Centre, Lanzhou, 730060, China
E-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com
(Received 24 December 2014; received in revised form 30 January 2015; accepted 11 February 2015)
Abstract. Planetary gearbox is increasingly used in many kinds of rotary machinery in recent years. Due to the specialty of its structure, fault diagnosis for planetary gearbox is very difficult compared with the fixed shaft gearbox. This paper proposed an offline fault diagnosis method for planetary gearbox based on empirical mode decomposition and adaptive multi‑scale morphological gradient filter. Firstly, the framework of the method proposed in this paper was introduced. Then, experimental data and industrial data were utilized to validate the effectiveness of the method. And the combination of empirical mode decomposition and adaptive multi‑scale morphological dilation-erosion gradient filter was found very suitable to be used in the planetary gearbox fault diagnosis compared with other five filters. The proposed method was demonstrated to be of good performance on both extracting faults characteristic frequency and de-noising.
Keywords: planetary gearbox, fault diagnosis, empirical mode decomposition, mathematical morphology, morphological gradient filter.
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Cite this article
Li Haiping, Zhao Jianmin, Song Wenyuan, Teng Hongzhi An offline fault diagnosis method for planetary gearbox based on empirical mode decomposition and adaptive multi‑scale morphological gradient filter. Journal of Vibroengineering, Vol. 17, Issue 2, 2015, p. 705‑719.
© JVE International Ltd. Journal of Vibroengineering. Mar 2015, Volume 17, Issue 2. ISSN 1392-8716