Statistics Analysis of PCA-based Sensor Fault Detection

被引：2
|
作者：
Qiu, Tian [1 ]
Zhu, Xiang [1 ]
机构：
[1] N China Elect Power Univ, Key Lab Measurement & Control Ind Proc, Beijing 102206, Peoples R China
来源：
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6 | 2012年 / 121-126卷
关键词：
Principal Component Analysis; Fault detection; Sensor; PRINCIPAL COMPONENT ANALYSIS;
D O I：
10.4028/www.scientific.net/AMM.121-126.1085
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
It is of importance to analyze relations between Hawkins' T-H(2) statistic and process variables mean and variance. The formula of T-H(2) statistic mean is derived, and its variation law with process variable mean and variance is investigated. Simulation data indicates that the variation law of T-H(2) is similar to SPE. Changing of process variable mean and variance can both enlarge T-H(2), while process noise can make the statistic oscillating.
引用
收藏
页码：1085 / 1089
页数：5
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