Burst detection in water distribution system using the extended Kalman filter

D. Jung, K. Lansey

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)


A water distribution system burst from a pipe rupture results in water loss and disruptions of customer service. Numerous methods, including Statistical Process Control, time series modeling, and pattern recognition, have been applied to detect bursts. However, system changes its boundary conditions such as the set of operating pumps and valve closures greatly complicating the detection problem. Thus, to date applications have been limited to the network supplied by gravity or under constant boundary conditions. This study seeks to overcome these limitation using the Kalman filter method to estimate the system state and detect bursts.

Original languageEnglish
Pages (from-to)902-906
Number of pages5
JournalProcedia Engineering
Publication statusPublished - 2014
Externally publishedYes
Event12th International Conference on Computing and Control for the Water Industry, CCWI 2013 - Perugia, Italy
Duration: 2013 Sept 22013 Sept 4

Bibliographical note

Funding Information:
This material is based in part upon work supported by the National Science Foundation under Grant No. 083590. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


  • Burst detection
  • Extended Kalam filter (EKF)
  • Innovation sequence

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Burst detection in water distribution system using the extended Kalman filter'. Together they form a unique fingerprint.

Cite this