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On Fault Detection Based on Recursive Subspace Identification

机译:基于递归子空间识别的故障检测

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This chapter concerns detection of faults in systems. From the viewpoint of safety and security, fault detection schemes are essential for automation in industry, since quick alarms help to prevent the subsequent occurrence of complete failure of industrial machines and plants. Fault detection schemes based on subspace identification are promising since subspace identification algorithms are known as powerful tools for system identification. In this chapter, two fault detection schemes are briefly reviewed. One is to observe changes in system parameters by two recursive parameter estimation algorithms based on subspace identification in parallel. The other is a stochastic whiteness test on the so-called residual which is generated by a recursive subspace identification algorithm.
机译:本章涉及系统中的故障。从安全和安全性的角度来看,故障检测方案对于行业自动化是必不可少的,因为快速报警有助于防止工业机器和工厂的完全失败发生。由于子空间识别算法被称为系统识别的强大工具,因此基于子空间识别的故障检测方案是有希望的。在本章中,简要介绍了两个故障检测方案。一种是通过并行的两个递归参数估计算法观察系统参数的变化。另一个是通过递归子空间识别算法产生的所谓残差的随机白度测试。

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