The time domain identification of model parameters of rotor bearing systems is helpful forcondition monitoring and fault diagnosis of rotating machines.
轴承-转子系统模态参数时域识别对于回转机械的状态监测与故障诊断具有重要意义。
2
Identification of dynamic natural frequencies and viscosity damping coefficient for a large-scale structure in practical working condition is a very difficult problem.
大型构件在实际工作环境中的系统动态固有频率和粘性阻尼系数辨识一直是一个“棘手”的问题。
3
Online identification algorithm is developed for railway cars system parameters to realize the scheme for condition monitoring and fault diagnosis system in real time.