摘要
利用希尔伯特变换技术,将含故障的轴承振动信号转化为窄带振动包络信号.然后用包络信号的功率谱和沃尔什列谱对轴承故障进行诊断.对5套307轴承的诊断结果表明,这种方法诊断结果准确可靠,方法简便实用,速度快。
In this paper, based on the Hilbert transform method, faults of bearings are diagnosed using the power spectrum and Walsh spectrum of narrow band vibration envelope signals transformed from vibration signals of faulty bearings. The diagnostic results show this method is reliable, accurate, fast and simple, especially suitable for the on line detection and diagnosis of the rolling bearing.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
1997年第8期97-104,共8页
Journal of Xi'an Jiaotong University
基金
西安交通大学机械结构强度与振动国家重点实验室资助
关键词
故障诊断
滚动轴承
损伤
振动信号
分离
fault diagnosis rolling bearing power spectrum Walsh spectrum