Fault Detection and Diagnosis for Sensor in Complex Control System Based on KPCA

The Fault detection and diagnosis for sensors are important for the performance of the complex control system seriously. The kernel principal component analysis (KPCA) effectively captures the nonlinear relationship of the process variables, which computes principal component in high-dimensional fea...

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Vydané v:	Applied Mechanics and Materials Ročník 623; číslo Engineering Research and Designing for Industry; s. 202 - 210
Hlavní autori:	Wang, Qiu Yan, Xu, Ping, Wang, Kai, Wang, You Cai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Zurich Trans Tech Publications Ltd 01.08.2014
Predmet:	Control systems Fault detection Fault diagnosis Faults Kernels Nonlinearity Sensors Statistics Kernel Principal Component Analysis (KPCA) Fault Detection Diagnosis Complex Control System Sensor
ISBN:	9783038352228, 3038352225
ISSN:	1660-9336, 1662-7482, 1662-7482
On-line prístup:	Získať plný text
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