Diagnosis of Interconnected Systems via well tuned Model-Based Coupling Algorithms <ce:cross-ref refid='fn1'> <ce:sup loc='post'>?</ce:sup> </ce:cross-ref>

Markus Tranninger; Georg Stettinger; Martin Benedikt; Martin Horn

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Diagnosis of Interconnected Systems via well tuned Model-Based Coupling Algorithms ?

机译：通过调整良好的基于模型的耦合算法诊断互连系统？

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This paper presents a heuristic tuning method for a recently proposed model-based coupling algorithm. The purpose of the coupling algorithm is to mitigate effects caused by non ideal coupling of different subsystems where coupling imperfections like time delays, data losses or noisy measurements degrade the overall system performance. If the coupling algorithm is well tuned, a consistency criterion can be used for online closed-loop diagnosis. The simplicity and effectiveness of the proposed tuning and diagnosis approach is demonstrated via a laboratory experiment.

机译：本文提出了一种针对最近提出的基于模型的耦合算法的启发式调整方法。耦合算法的目的是减轻由不同子系统的非理想耦合所引起的影响，在这些子系统中，诸如时延，数据丢失或噪声测量之类的耦合缺陷会降低整体系统性能。如果耦合算法得到了很好的调整，则一致性标准可用于在线闭环诊断。通过实验室实验证明了所提出的调整和诊断方法的简单性和有效性。

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来源
《IFAC PapersOnLine》 |2018年第24期|共7页
作者
Markus Tranninger; Georg Stettinger; Martin Benedikt; Martin Horn;
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中图分类自动化技术、计算机技术;
关键词
Model Based CouplingExtended Kalman FilterHeuristic TuningIdentification ConsistencyDiagnosis;

机译：基于模型的耦合扩展卡尔曼滤波器启发式调整识别一致性诊断;

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Diagnosis of Interconnected Systems via well tuned Model-Based Coupling Algorithms ?

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