Have a personal or library account? Click to login
Data-driven models for fault detection using kernel PCA: A water distribution system case study Cover

Data-driven models for fault detection using kernel PCA: A water distribution system case study

International Journal of Applied Mathematics and Computer Science
Volume 22 (2012): Issue 4 (December 2012)
By:
Open Access
|Dec 2012

Authors

Adam Nowicki

adam.j.nowicki@gmail.com

Michał Grochowski

m.grochowski@ely.pg.gda.pl

Kazimierz Duzinkiewicz

k.duzinkiewicz@ely.pg.gda.pl

DOI: https://doi.org/10.2478/v10006-012-0070-1 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Journal RSS Feed
Language: English
Page range: 939 - 949
Published on: Dec 28, 2012
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
machine learning,
kernel PCA,
fault detection,
monitoring,
water leakage detection.
Related subjects:
Mathematics,
Applied mathematics

© 2012 Adam Nowicki, Michał Grochowski, Kazimierz Duzinkiewicz, published by Sciendo
This work is licensed under the Creative Commons License.

Previous articleVolume 22 (2012): Issue 4 (December 2012)Next article