Scientific Background

Identifying pending problems in industrial systems is accomplished in many cases by detecting rare events. Detector's methodology is based on such monitoring of the existence of rare events, i.e. combinations of data that have not seen before. Rare events may be detected both on distance-based or density-based approaches.

Insight into pending problems

Focused review of event detection in water system is presented by Brill (2013).

Water quality event detection - an E.P.A. review

Anomaly detection in data mining

E. Brill. Using Radial Basis Function for Water Quality Events Classification" is now in the final (minor) second review for the Springer book: ICT for Smart Water Systems: Measurements and Data Science (The Handbook of Environmental Chemistry (698)) 2019.

T. Bernard, J. Mobgraber, A.E. Madar, A. Rosenberg, J. Deuerlein, H. Lucas, K. Boudergui, D. Ilver, E. Brill, N. Ulitzur Safewater – Innovative tools for the detection and mitigation of CBRN related contamination events of drinking water Proc. 13th Int'l. Conf. on Computing and Control for the Water Industry (CCWI 2015): Sharing the Best Practice in Water Management, Leicester, UK, 2-4 September 2015 Procedia Engineering Series, 119, 2015 (352-359)

T. Bernard, J. Mobgraber, A.E. Madar, A. Rosenberg, J. Deuerlein, H. Lucas, K. Boudergui, Dag Ilver, E. Brill, N. Ulitzur Realtime detection and mitigation of CBRN related contamination events of drinking water 10th Future Security Research Conf. Berlin, Germany, 15-17 September 2015

Technical report of anomaly detection methods

E. Brill, Implementing machine learning algorithms for water quality event detection: Theory and practice In: Securing Water and Wastewater Systems. Series: Protecting Critical Infrastructure Robert M. Clark, Simon Hakim (eds.). Springer, 2, 2014 (107-122). [ISBN: 978-3-319-01091-5]

E. Brill, B. Brill. Identifying water network anomalies using multi parameters random walk: Theory and practice In: Applications in Water Systems Management and Modeling. Daniela Malcangio (ed.) IntechOpen, Chapter 3, 2018 (33-47). [ISBN: 978-1-78923-045-1]

B. Brill, E. Brill. Extensions of cross-correlation for delay time estimation with application to water networks Proc. Industrial Engineering & Management Conf. (IE&M) Tel-Aviv, Israel, 4 June 2017