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。
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。
A classifiers ensemble approach based on Principal Component Analysis (PCA) was proposed.
设计了一种基于主成分分析的分类器集成方法。
Based on the analysis of some approaches of component variability, this paper discusses the variability implementation approach by using design pattern.
在分析已有的构件可变性实现方法的基础上，本文提出了使用设计模式实现构件可变性的方法。
Methods The methods of analysis were used by expert consulting graded approach, discrete tendency, principal component analysis and cluster analysis.
方法采用专家咨询打分法、离散趋势法、主成分分析法和聚类分析法进行分析。
This paper presents a human face detection and localization approach which is based on skin color detection and principle component analysis (PCA).
提出一种基于人脸肤色统计模型和主元分析(pca)的人脸检测和定位方法。
The function, structure and its component were discussed by combined function analysis and process decomposition approach.
笔者采用组合功能分析和过程分解的方法，对城市公共安全系统的功能、结构和组成进行了讨论；
An approach to gear fault diagnosis is presented, which bases on kernel principal component analysis (KPCA).
提出了基于核函数主元分析的齿轮故障诊断方法。
An approach to gear fault diagnosis is presented, which bases on kernel principal component analysis (KPCA).
提出了基于核函数主元分析的齿轮故障诊断方法。
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