SENSOR FAULT DIAGNOSIS OF AUTONOMOUS UNDERWATER VEHICLE BASED ON NONLINEAR PRINCIPALCOMPONENT ANALYSIS-Reference-Cited by-同舟云学术

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SENSOR FAULT DIAGNOSIS OF AUTONOMOUS UNDERWATER VEHICLE BASED ON NONLINEAR PRINCIPALCOMPONENT ANALYSIS

Published:2007 Issue:15 Volume:40 Page:67-70
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Zhu Daqi,Gu Wei

Publisher

Elsevier BV

Subject

General Medicine

Reference11 articles.

1. Joint diagnosis of process and sensor faults using principal component analysis;Dunia;Control Engineering Practice,1998

2. Identification of faulty sensors using principal component analysis;Dunia;AIChE Journal,1996

3. Nonlinear principal component analysis - based on principal curves and neural networks;Dong;Computers and Chemical Engineering,1996

4. Drift reduction of gas sensor by wavelet and principal component analysis;Hui;Sensors and Actuators,2003

5. Variable reconstruction using RBF-NLPCA for process monitoring;Harkat,2003

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