This thesis presents principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system.

本文提出了用主成分分析法(PCA)进行空调系统传感器故障检测与诊断的基本思想。

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The principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system is presented.

提出了空调系统传感器故障检测、故障识别、故障重构的主成分分析方法。

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Applying the principal component analysis method (PCA) to these variables, we compile a single composite index (G-Index) to rank Chinese listed firms' corporate governance levels.

基于这个变量体系，我们运用主元因素分析法编制了一个可反映上市公司治理水平的综合指标——G指标。

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