Online identification algorithm is developed for railway cars system parameters to realize the scheme for condition monitoring and fault diagnosis system in real time.
为客车行车安全监测诊断系统实时实现上述方案，推导了铁道车辆系统参数的在线辨识算法。
A method for fault detection and identification in control system under external disturbance and variations of plant parameters is presented.
提出了一种在模型参数变动和存在外部扰动条件下的控制系统故障检测与识别方法。
The time domain identification of model parameters of rotor bearing systems is helpful for condition 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。
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