一种确定系统诊断主成分分析模型的新方法

18th Mediterranean Conference on Control and Automation, MED'10 Pub Date : 2010-06-23 DOI:10.1109/MED.2010.5547762

A. Benaicha, G. Mourot, Mohamed Guerfel, K. BenOthman, J. Ragot

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引用次数: 6

摘要

提出了一种确定系统诊断用主成分分析模型结构的新方法。该方法基于变量重构原理确定主成分分析模型，以优化对影响冗余或非冗余变量的简单和多重故障的检测和隔离。通过一个非线性系统的仿真实例验证了该方法的有效性。

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A new method for determining PCA models for system diagnosis

In this paper, a new method is proposed to determine the structure of PCA models for system diagnosis. This method based on the principle of variable reconstruction determines PCA models in order to optimize detection and isolation of simple and multiple faults affecting redundant or non redundant variables. This new method has been validated by a simulation example of a nonlinear system.

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18th Mediterranean Conference on Control and Automation, MED'10

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