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：

加拿大自然科学与工程研究理事会; 北京市自然科学基金; 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

页码：405 / 408

页数：4

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