A Novel Leak Detection Approach in Water Distribution Networks

被引:0
|
作者
Fezai, Radhia [1 ]
Bouzrara, Kais [1 ]
Mansouri, Majdi [2 ]
Nounou, Hazem [2 ]
Nounou, Mohamed [2 ]
Puig, Vicenc [3 ]
机构
[1] Univ Monastir, Monastir, Tunisia
[2] Texas A&M Univ Qatar, Doha, Qatar
[3] Univ Politecn Cataluna, Barcelona, Spain
关键词
Leak detection; water distribution networks; kernel principal component analysis; online reduced kernel generalized likelihood ratio test; exponentially weighted moving average; PRINCIPAL COMPONENT ANALYSIS; FAULT-DETECTION TECHNIQUE;
D O I
10.1109/SSD52085.2021.9429340
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a novel leak monitoring framework aims to improve the operation of water distribution network (WDN). To do that, an online statistical hypothesis test based leak detection is proposed. The main advantages of the developed method are first to deal with the higher required computational time for detecting leaks and then, to update the KPCA model according to the dynamic change of the process. Thus, this can be performed to massive and online datasets. Simulation results obtained from simulated WDN data demonstrate the effectiveness of the proposed technique.
引用
收藏
页码:607 / 612
页数:6
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