摘要
针对齿轮的振动特点,设计了复合过完备时频字典,利用基追踪方法在匹配信号特征结构、直接提取特征信息方面的优势分析了齿轮箱的现场测试振动信号.根据基追踪分解结果,在时频联合域内提取了齿轮局部损伤的周期性冲击特征,识别了齿轮点蚀缺陷.与短时Fourier变换和小波变换等时频分析方法进行了对比分析,验证了基追踪检测齿轮损伤的有效性.
Regarding the characteristics of gear vibration, a compound over-complete time-frequency dictionary was designed. Basis pursuit, which is effective in matching the characteristic structure of signals globally and extracting the time-frequency information directly, was employed to analyze the vibration signals of both a healthy gearbox and a faulty one. Periodic impacts characterizing the vibration of localized damaged gears were extracted in the joint time-frequency domain, and gear tooth pitting was identified. In comparison with traditional time-frequency analysis methods, such as short time Fourier transform and wavelet transform, basis pursuit is effective in detecting gear damage.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2008年第1期84-89,共6页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金资助项目(No.50705007)
湖南省机械设备健康维护重点实验室开放基金资助项目(No.KFJJ0505)
关键词
齿轮
故障诊断
基追踪
时频分析
gear
fault diagnosis
basis pursuit
time-frequency analysis
