Detecting Pipe Bursts Using Heuristic and CUSUM Methods

Bakker, M.; Jung, D.; Vreeburg, J.; Van de Roer, M.; Lansey, K.; Rierveld, L.

doi:doi:10.1016/j.proeng.2014.02.011

Detecting Pipe Bursts Using Heuristic and CUSUM Methods

Title

Detecting Pipe Bursts Using Heuristic and CUSUM Methods

Author

Bakker, M.
Jung, D.
Vreeburg, J.
Van de Roer, M.
Lansey, K.
Rierveld, L.

Faculty

Applied Sciences

Department

QN/Quantum Nanoscience

Date

2014-01-01

Abstract

Pipe bursts in a drinking water distribution system lead to water losses, interruption of supply, and damage to streets and houses due to the uncontrolled water flow. To minimize the negative consequences of pipe bursts, an early detection is necessary. This paper describes a heuristic burst detection method, which continuously compares forecasted and measured values of the water demand. The forecasts of the water demand were generated by an adaptive water demand forecasting model. To test the method, a dataset of five years of water demand data in a supply area in the Western part of the Netherlands was collected. The method was tested on a subset of the data (only the winter months) in which 9 (larger) burst events were reported. The detection probability for the reported bursts was 44.4%, at an acceptable rate of false alarms of 5.0%. The results were compared with the CUSUM method, which is a general statistical process control (SPC) method to identify anomalies in time series. The heuristic and CUSUM methods generated comparable results, although rate of false alarm for the heuristic method was lower at the same detection probability.

Subject

pipe burst detection
demand forecasting
SPC methods

To reference this document use:

http://resolver.tudelft.nl/uuid:8204fa5b-9c7b-4caa-b590-74bb733362fc

DOI

https://doi.org/10.1016/j.proeng.2014.02.011

Publisher

Elsevier

ISSN

1877-7058

Source

Procedia Engineering, 70, 2014; CCWI 2013: 12th International Conference on Computing and Control for the Water Industry