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A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual

机译:基于组合重构贡献图和结构化残差的故障识别新方法

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The existing contribution plot-based reconstruction fault identification methods suffer from low identification accuracy and serious trailing effect. In this paper, a new fault identification method is proposed based on a combination of reconstruction contribution plot and structured residual method. The fault direction vector is calculated by utilizing the structured residual method. The reconstruction contribution plot utilizes the obtained fault direction vector to accurately localize the fault variable, where the fault source can be accurately localized subsequently. The experimental results show that, compared with the traditional PCA and PPCA (PCA based on probability) reconstruction contribution method, this algorithm can accurately identify the fault variables, and reduce the influence of the fault variables on the non-fault variables.
机译:现有的基于贡献图的重构故障识别方法具有识别精度低,跟踪效果严重的缺点。本文提出了一种基于重构贡献图和结构残差法相结合的故障识别新方法。利用结构化残差法计算出故障方向向量。重构贡献图利用获得的故障方向矢量来精确定位故障变量,随后可以准确定位故障源。实验结果表明,与传统的PCA和PPCA(基于概率的PCA)重构贡献方法相比,该算法可以准确识别故障变量,减少故障变量对非故障变量的影响。

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