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：本章涉及系统中故障的检测。从安全性的角度来看，故障检测方案对于工业自动化至关重要，因为快速警报有助于防止随后发生的工业机器和工厂完全故障。由于子空间识别算法是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很有希望。本章简要回顾了两种故障检测方案。一种是通过并行基于子空间识别的两种递归参数估计算法来观察系统参数的变化。另一个是通过递归子空间识别算法生成的所谓残差的随机白度测试。

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来源
《International Symposium on Systems and Human Science; 20031119-20; Osaka(JP)》|2003年|P.173175-186|共13页
会议地点 Osaka(JP)
作者
Hiroshi Oku;
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作者单位

Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, 5-16-1, Omiya, Asahi-ku, Osaka 535-8585, Japan;

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正文语种 eng
中图分类系统科学;
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2. Robust Recursive Eigendecomposition and Subspace-Based Algorithms With Application to Fault Detection in Wireless Sensor Networks [J] . Chan S.C. Instrumentation and Measurement, IEEE Transactions on . 2012,第6期

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3. Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier [J] . Sielly Jales Costa Bruno, Angelov Plamen Parvanov, Guedes Luiz Affonso Neurocomputing . 2015,第feba20ptaa期

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4. On Fault Detection Based on Recursive Subspace Identification [C] . Hiroshi Oku, Osaka University, Society for Instrumentation and Control Engineers(SICE), International Symposium on Systems and Human Science . 2005

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5. A novel subspace identification algorithm and its application in stochastic fault detection. [D] . Wang, Jin. 2004

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On Fault Detection Based on Recursive Subspace Identification

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