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Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy
Joint Authors
Hou, Dibo
Liu, Shu
Zhang, Jian
Chen, Fang
Huang, Pingjie
Zhang, Guangxin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This study proposes a probabilistic principal component analysis- (PPCA-) based method for online monitoring of water-quality contaminant events by UV-Vis (ultraviolet-visible) spectroscopy.
The purpose of this method is to achieve fast and sound protection against accidental and intentional contaminate injection into the water distribution system.
The method is achieved first by properly imposing a sliding window onto simultaneously updated online monitoring data collected by the automated spectrometer.
The PPCA algorithm is then executed to simplify the large amount of spectrum data while maintaining the necessary spectral information to the largest extent.
Finally, a monitoring chart extensively employed in fault diagnosis field methods is used here to search for potential anomaly events and to determine whether the current water-quality is normal or abnormal.
A small-scale water-pipe distribution network is tested to detect water contamination events.
The tests demonstrate that the PPCA-based online monitoring model can achieve satisfactory results under the ROC curve, which denotes a low false alarm rate and high probability of detecting water contamination events.
American Psychological Association (APA)
Hou, Dibo& Liu, Shu& Zhang, Jian& Chen, Fang& Huang, Pingjie& Zhang, Guangxin. 2014. Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy. Journal of Spectroscopy،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1043072
Modern Language Association (MLA)
Hou, Dibo…[et al.]. Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy. Journal of Spectroscopy No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1043072
American Medical Association (AMA)
Hou, Dibo& Liu, Shu& Zhang, Jian& Chen, Fang& Huang, Pingjie& Zhang, Guangxin. Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy. Journal of Spectroscopy. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1043072
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1043072