Monitoring of Flow Data in Water Distribution Networks Using Density-Based Clustering Methods

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Moslehi I.; JALILI GHAZIZADEH M.R.; Yousefi Khoshqalb E.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:15 | Issue:3 Page(s): 62-77

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Information Journal Paper

Title

Monitoring of Flow Data in Water Distribution Networks Using Density-Based Clustering Methods

Author(s)

Moslehi I. | JALILI GHAZIZADEH M.R. | Yousefi Khoshqalb E. | Issue Writer Certificate

Keywords

OutlierQ1

Density-Based ClusteringQ1

DBSCAN AlgorithmQ1

Flow DataQ1

Water Distribution NetworkQ2

Abstract

Detection of noise (anomaly or Outlier) from Flow Data in Water Distribution Networks (WDNs) is implemented in data preparation and prepossessing to achieve reliable historical data. This improves the assessment and management of leakage and helps the efficient operation of the network. The main objective of this paper is to develop a new methodology based on unsupervised learning methods for noise detection in a Flow Data set in Water Distribution Networks. The developed methodology includes three steps 1-required data acquisition, 2-data validation and normalization, and 3-anomaly or Outlier detection using the density-based spatial clustering of application with noise (DBSCAN) algorithm. The proposed methodology is applied for inFlow Data into a zone in Tehran's urban Water Distribution Network which has 15-min reading intervals for the year 1394 (April 2015-March 2016)). The results showed that the developed methodology is capable in detection of anomalies caused by different types of pipe breaks and unusual legitimate consumption such as water usage due to changes in water consumption pattern or unauthorized consumption. Therefore, this methodology can be used as an applied and flexible tool for Flow Data monitoring and detecting and eliminating different types of Outliers.

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APA: Copy

Moslehi, I., JALILI GHAZIZADEH, M.R., & Yousefi Khoshqalb, E.. (2019). Monitoring of Flow Data in Water Distribution Networks Using Density-Based Clustering Methods. IRAN-WATER RESOURCES RESEARCH, 15(3 ), 62-77. SID. https://sid.ir/paper/100382/en

Vancouver: Copy

Moslehi I., JALILI GHAZIZADEH M.R., Yousefi Khoshqalb E.. Monitoring of Flow Data in Water Distribution Networks Using Density-Based Clustering Methods. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(3 ):62-77. Available from: https://sid.ir/paper/100382/en

IEEE: Copy

I. Moslehi, M.R. JALILI GHAZIZADEH, and E. Yousefi Khoshqalb, “Monitoring of Flow Data in Water Distribution Networks Using Density-Based Clustering Methods,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 3 , pp. 62–77, 2019, [Online]. Available: https://sid.ir/paper/100382/en

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