Real-time leak detection in water distribution systems

Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010

Volumn , Issue , 2012, Pages 1074-1082

  Romano, M ^a   Kapelan, Z ^a   Savic D A ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Artificial Neural Network; Bayesian Network; Burst Detection; Statistical Process Control; Wavelets

Indexed keywords

ANOMALY IDENTIFICATION; ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL NEURAL NETWORK; AUTOMATED DETECTION; BURST DETECTION; CRITICAL ISSUES; DE-NOISING; EFFICIENCY AND RELIABILITY; FLOW SIGNALS; INFERENCE SYSTEMS; LEAK DETECTION SYSTEMS; NEGATIVE IMPACTS; PIPE BURST; POTENTIAL HEALTH; REAL TIME SENSORS; REAL-TIME DETECTION; SHORT-TERM FORECASTING; SIGNAL VALUE; STATISTICAL PROCESS; THROUGH CRACKS; TIME STEP; UNITED KINGDOM; WATER DISTRIBUTIONS; WAVELETS;

BAYESIAN NETWORKS; ENERGY CONVERSION; HEALTH RISKS; LEAK DETECTION; LOCAL AREA NETWORKS; NEURAL NETWORKS; RELIABILITY ANALYSIS; SIGNAL DETECTION; STATISTICAL PROCESS CONTROL; SYSTEMS ANALYSIS; WATER CONSERVATION; WATER DISTRIBUTION SYSTEMS; WATER TREATMENT;

REAL TIME SYSTEMS;

EID: 84856155868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41203(425)97     Document Type: Conference Paper

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