principal component analysis pca

基本解释

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。
Firstly, the spectrum data is processed by principal component analysis(PCA), then, an estimating model based on a Gaussian kernel function is set up using the PCA data and their temperatures.
首先对历史光谱数据进行主成分分析（PCA）处理，再根据PCA特征数据与其表面温度的对应关系建立温度的估计模型，该模型是基于高斯核函数的。
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。