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.
提出了空調系統傳感器故障檢測、故障識別、故障重搆的主成分分析方法。
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.
首先對歷史光譜數據進行主成分分析（PCA）処理，再根據PCA特征數據與其表麪溫度的對應關系建立溫度的估計模型，該模型是基於高斯核函數的。
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）進行空調系統傳感器故障檢測與診斷的基本思想。