@inproceedings{ef4086cd22604939950a4b74381d8ab3,
title = "A study on fault diagnosis of gears based on local mean decomposition method",
abstract = "In present paper, the effectiveness of local mean decomposition (LMD) method to signals of fault gears, which are multi-component amplitude modulated and frequency modulated, is demonstrated. A series of tests on wearing and broken tooth of gears are conducted. And the fault characteristics extracted by Fourier transform, Hilbert transform and LMD are compared. The results validate that LMD method is an effective way to extract the characteristics of fault gears and improve the accuracy of fault diagnosis of gears since it is able to reduce effect of false components.",
keywords = "Fault diagnosis, Gear, Hilbert transform, Local mean decomposition",
author = "Qiang Pan and Denghong Xiao and Tian He",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.683.899",
language = "英语",
isbn = "9783037856666",
series = "Advanced Materials Research",
pages = "899--902",
booktitle = "Advanced Materials and Engineering Materials II",
note = "2nd International Conference on Advanced Materials and Engineering Materials, ICAMEM 2012 ; Conference date: 29-12-2012 Through 30-12-2012",
}