摘要
为实现旋转机械振动故障实时在线诊断,采集机组运行中的振动信号,计算得到不同振动故障时的特征值及其敏感等级分布,确认了特征值与不同故障原因的相关性,建立了故障特征值数据库,并在旋转机械试验台上对故障诊断模型进行了验证.结果表明:该方法可以实时有效地完成振动故障的在线分析和不同故障原因的诊断,对风机和水泵等旋转机械的现场实时监测和振动智能远程诊断具有一定的工程应用价值.
To realize real-time online diagnosis of vibration faults in rotary machineries, some vibration sig- nals were collected during operation of a unit, so as to calculate their characteristic values, determine the distribution of sensitivity levels, find the relationship between characteristic values and fault causes, set up database of characteristic values, and to verify the fault diagnosis model in a test rig. Results show that the model can achieve online analysis and diagnosis of vibration faults, which may serve as a reference for real- time local monitoring and intelligent remote diagnosis of vibration faults in rotary machineries, such as fans and water pumps, etc.
出处
《动力工程学报》
CAS
CSCD
北大核心
2018年第2期120-126,共7页
Journal of Chinese Society of Power Engineering
关键词
旋转机械装置
在线诊断
故障诊断模型
特征值
敏感性
rotary machinery
online diagnosis
fault diagnosis model
characteristic value
sensitivity
