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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Bibliographic Details

Published in:	Applied Mechanics and Materials Vol. 623; no. Engineering Research and Designing for Industry; pp. 202 - 210
Main Authors:	Wang, Qiu Yan, Xu, Ping, Wang, Kai, Wang, You Cai
Format:	Journal Article
Language:	English
Published:	Zurich Trans Tech Publications Ltd 01.08.2014
Subjects:	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
Online Access:	Get full text
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