摘要
根据低速重载火轴承动态特性、故障信号特征，对其振动信号和声发射信号分别从软件和硬件实现包络，并对包络信号进行频谱分析，准确诊断出大轴承的部位和类型，经现场验证分析诊断结果是正确的。
The paper presents envelops of both vibration and acoustic emission signals with respect to software and hardware based on dynamic characters and fault characteristcs of large bearing under heavy load and low speed The type and position of fault in the bearing have been found by means of frequency spectrum analyzing and have been well confirmed by field check.
出处
《辽宁科技学院学报》
1999年第1期20-24,共5页
Journal of Liaoning Institute of Science and Technology
关键词
低速重载
包络分析
希尔伯特变换
声发射
Large bearing under heavy load and low speed
Envelop analysis,Hilbert transform
Acoustic emission
