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。
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。
Principal component analysis (PCA) is used in data compressing and statistical features extracting.
主分量分析技术通常用于数据压缩和统计特征的提取。
Results Analyzing the data with principal component analysis(PCA) by model recognition, the different agents can be distinguished in the scattered plots.
结果所得的数据通过模式识别法中的主成分分析（PCA），在得分散点图中实现了对不同种类的制剂的区分。
The 25 plots of degraded karst forests were chosen as the research objects and 25 plots were divided into 11 forest types by principal component analysis (PCA).
用25个退化喀斯特森林样地作为研究对象，采用主分量分析方法，把25个样地划分成11个森林类型，并对各类型的分布及特征进行阐述。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.
主成分分析法是从观测数据中获取主要信息的一种多变量统计方法。
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。
Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.
在多变量统计过程控制中，传统的方法主要包括主元分析和偏最小二乘，这些方法存在着诸多缺陷。
Principal component analysis (PCA) showed that the 4 groups were clearly distinguishable from each other.
主成分分析(pca)的结果显示，这4组患者可以清楚的加以区分。
Methods Chemical pattern recognition was performed on the fruits of Ligustrum lucidum collected from various areas of China by PCA (principal component analysis) method.
方法应用主成分分析法(PCA)对来源于全国不同产地的女贞子进行了化学模式识别研究。
The authors try to use multivariate statistics method based on principal component analysis (PCA) to monitor continuous casting mould process.
尝试性地将基于主元分析的多变量统计方法应用于连铸结晶器过程的监测。
The authors present a new method to remedy the negative effect arising from slant vehicle license plates character segmentation and recognition based on principal component analysis (PCA).
为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响，提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
本文提出了一种基于主元分析法（PCA）的多模板字符识别算法。
Numerous statistical process monitoring methods based on principal component analysis (PCA) have been developed and applied to various chemical processes for fault detection and identification.
基于主元分析(pca)的统计检测方法已经被广泛应用于各种化工过程的故障检测和识别。
In this paper, kernel independent component analysis (KICA) 's principle and algorithm are introduced, and then the KICA comparison with some other ICA and principal component analysis (PCA) is given.
论文介绍了基于核空间的ICA的原理和基本算法，然后介绍了该算法与典型ICA和主成分分析(PCA)在盲源信号分离中的比较。
For the sake of better carrying on fault detection and diagnosis, introduced the theory of principal component analysis (PCA) and the mechanism and strategy based on PCA for the fault of process.
为了更好的进行故障检测与诊断，介绍了主元分析(PCA)理论，给出了基于主元分析的过程故障辨识机理及策略。
Principal component analysis(PCA) is a technique for linearly compressing multidimensional data into lower dimensions with minimal loss of information.
主成分分析是一种将多个变量化为少数几个综合新变量的多元统计分析方法。
A principal component analysis-cerebellar model articulation controller (PCA-CMAC) model is proposed for machine performance degradation assessment.
提出了一种用于设备性能退化评估的PCA-CMAC（主成分分析小脑模型节点控制器）模型。
Considering the feature of left matrix fraction description, this article presents a construction method of the stabilization diagram by principal component analysis (PCA).
针对左矩阵分式模型的特点，给出了一种通过主分量分析(PCA)建立稳定图的方法。
An efficient algorithm using divergence based class-within principal component analysis (PCA) and analysis of corresponding coefficients is proposed.
该文提出了一种新的基于分类别主成分分析(PCA)散度的波段选择方法。
The optimum region of current efficiency was obtained by principal component analysis(PCA) in poly-dimension and result the optimum point in the optimum area.
用主成份分析对高维模式空间降维，寻找模式空间电流效率较高的区域；
Principal component analysis (PCA) has found wide application in chemical process monitoring and product quality control as a data-driven modeling method.
主元分析(PCA)作为数据驱动的一种统计建模方法，在化工产品质量控制与故障诊断方面得到广泛研究和应用。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
A new method of blind estimation for short-code chaotic spread spectrum sequence is proposed, which is based on principal component analysis (PCA) and has good performance at low SNR condition.
针对短码实值混沌直扩系统，提出了一种基于主元分析的算法，实现了在低信噪比下对直扩序列的盲估计。
This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).
该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。
Using the methods of Principal Component Analysis (PCA) and the Analytical Hierarchy Process(AHP), the paper proposes the synthetic evaluating model of PCA with weighted variables by AHP.
通过综合运用主成分分析和层次分析方法，建立系统综合评价的AHP变量加权主成分分析模型。
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。
The electronic tongue was used in combination with principal component analysis (PCA) for the classification of tea samples from three quality grades.
电子舌测定结合主成分分析法(pca)的结果显示，在第一和第二主成分的得分图上，电子舌可以区分特征十分相近的不同等级的普洱茶。
The electronic tongue was used in combination with principal component analysis (PCA) for the classification of tea samples from three quality grades.
电子舌测定结合主成分分析法(pca)的结果显示，在第一和第二主成分的得分图上，电子舌可以区分特征十分相近的不同等级的普洱茶。
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