FAULT-DIAGNOSIS IN DYNAMIC-SYSTEMS USING ANALYTICAL AND KNOWLEDGE-BASED REDUNDANCY - A SURVEY AND SOME NEW RESULTS
FAULT-DIAGNOSIS IN DYNAMIC-SYSTEMS USING ANALYTICAL AND KNOWLEDGE-BASED REDUNDANCY - A SURVEY AND SOME NEW RESULTS
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DOI：
10.1016/0005-1098(90)90018-d
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发表时间：
1990-05-01
期刊：
影响因子：
6.4
通讯作者：
FRANK, PM
中科院分区：
文献类型：
--
作者：
FRANK, PM
本文回顾了利用解析冗余进行自动过程故障检测和隔离的研究现状，并提出了一些新的结果。它概述了基于模型的残差生成的原理和最重要的技术，使用参数识别和状态估计方法，重点是最新的尝试，以实现鲁棒性建模误差。鲁棒故障检测的基本问题的解决方案，提供最大的可实现的鲁棒性，通过解耦故障的影响，从彼此和建模误差的影响，给出。这种方法不仅完善了理论，而且对实际应用也具有重要意义。对于完全解耦的先决条件的情况下，没有给出，两个近似的解决方案，一个在时域和频域中的一个，并证明了交叉连接到早期的方法。所得到的观测器计划鲁棒仪器故障检测，组件故障检测，和执行器故障检测进行了简要讨论。最后，故障诊断的基本方案，使用分析和基于知识的冗余相结合的概述。
The paper reviews the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and presents some new results. It outlines the principles and most important techniques of model-based residual generation using parameter identification and state estimation methods with emphasis upon the latest attempts to achieve robustness with respect to modelling errors. A solution to the fundamental problem of robust fault detection, providing the maximum achievable robustness by decoupling the effects of faults from each other and from the effects of modelling errors, is given. This approach not only completes the theory but is also of great importance for practical applications. For the case where the prerequisites for complete decoupling are not given, two approximate solutions—one in the time domain and one in the frequency domain—are presented, and the crossconnections to earlier approaches are evidenced. The resulting observer schemes for robust instrument fault detection, component fault detection, and actuator fault detection are briefly discussed. Finally, the basic scheme of fault diagnosis using a combination of analytical and knowledge-based redundancy is outlined.