ABSTRACT This paper considers the detection problem of intermittent sensor faults in stochastic linear time-varying systems with both parameter uncertainty and limited resolution. By introducing the soft measurement model, a state estimator is designed whose upper bound of estimation error covariance is obtained and minimised at each time step. Based on it, the residual is generated and its relationship with the fault is analysed quantitatively. Then the evaluation function and corresponding detection threshold is given. Our proposed method is recursive and therefore suitable for real-time online applications. At last, two simulation studies are carried out to illustrate the validity of our proposed method.

中文翻译：

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具有参数不确定性和有限分辨率的随机 LTV 系统的间歇传感器故障检测

摘要 本文考虑了具有参数不确定性和有限分辨率的随机线性时变系统中间歇性传感器故障的检测问题。通过引入软测量模型，设计了一个状态估计器，它在每个时间步得到估计误差协方差的上界并使其最小化。在此基础上生成残差并定量分析残差与故障的关系。然后给出评价函数和相应的检测阈值。我们提出的方法是递归的，因此适用于实时在线应用程序。最后，进行了两次仿真研究来说明我们提出的方法的有效性。