FAULT DIAGNOSIS OF GEARBOX BASED ON MATCHING PURSUIT

被引：0
|
作者：
Feng, Zhi-Peng [1 ]
Zhang, Jin [2 ]
Hao, Ru-Jiang [3 ]
Zuo, Ming J. [4 ]
Chu, Fu-Lei [2 ]
机构：
[1] Univ Sci & Technol Beijing, Inst Vehicular Engn, Beijing 100083, Peoples R China
[2] Tsinghua Univ, Dept Precis Engn, Beijing 100084, Peoples R China
[3] Shijiazhuang Railway Inst, Dept Engn Mech, Shijiazhuang 050043, Peoples R China
[4] Univ Alberta, Dept Engn Mech, Edmonton, AB T6G 2G8, Canada
来源：
PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION | 2010年
基金：
北京市自然科学基金; 加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词：
Matching pursuit; Time-frequency analysis; Wavelet; Gear; Fault diagnosis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Matching pursuit is effective in matching the characteristic structure of signals and extracting the time-frequency features directly. It is employed to analyze the vibration signals of a gearbox under healthy and faulty statuses. Based on a compound dictionary, the periodic impulses characterizing the vibration of localized damaged gears are extracted in joint time-frequency domain, and the localized gear damage is detected and located. The analysis validates the effectiveness of matching pursuit in detecting and locating localized gear damage.
引用
收藏
页码：405 / 408
页数：4
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