Adam Nowicki - Publications - Bridge of Knowledge

Adam Nowicki

Employment

No data

Keywords Help

Publications

results on page:
year:
- selected sort by year newest first
- sort by year oldest first
title:
- selected sort by title A-Z
- sort by title Z-A
citation:
- sort by citation descending
- sort by citation ascending

Filters

total: 2

Year 2012

Data-driven models for fault detection using kernel pca:a water distribution system case study
Publication
- International Journal of Applied Mathematics and Computer Science - Year 2012
Kernel Principal Component Analysis (KPCA), an example of machine learning, can be considered a non-linear extension of the PCA method. While various applications of KPCA are known, this paper explores the possibility to use it for building a data-driven model of a non-linear system-the water distribution system of the Chojnice town (Poland). This model is utilised for fault detection with the emphasis on water leakage detection....

Full text available to download

Year 2011

Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System
Publication
- A. Nowicki
- M. Grochowski
- LECTURE NOTES IN COMPUTER SCIENCE - Year 2011
Monitoring plays an important role in advanced control of complex dynamic systems. Precise information about system's behaviour, including faults detection, enables efficient control. Proposed method- Kernel Principal Component Analysis (KPCA), a representative of machine learning, skilfully takes full advantage of the well known PCA method and extends its application to nonlinear case. The paper explains the general idea of KPCA...

seen 237 times