A neural network approach to burst detection

Water Science and Technology

Volumn 45, Issue 4-5, 2002, Pages 237-246

  Mounce, S R ^a   Day, A J ^a   Wood, A S ^a   Khan, A ^a   Widdop, P D ^a   Machell, J ^a  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

Author keywords

Bursts; Detection; Leakage; Neural networks; Online monitoring; Water distribution networks

Indexed keywords

DATA MINING; MATHEMATICAL MODELS; NEURAL NETWORKS; TIME SERIES ANALYSIS; WATER DISTRIBUTION SYSTEMS; WATER QUALITY;

BURST DETECTIONS;

LEAK DETECTION;

LEAK DETECTION; MONITORING SYSTEM; NEURAL NETWORK; ON-LINE TECHNIQUE; WATER DISTRIBUTION; WATER QUALITY;

ARTIFICIAL NEURAL NETWORK; CALIBRATION; CONFERENCE PAPER; HYDROLOGY; MODEL; MONITORING; ONLINE SYSTEM; SENSOR; WATER QUALITY; WATER SUPPLY;

EID: 0036201428     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2002.0595     Document Type: Conference Paper

References (10)

1. Leakage prevention and system renewal
2. Low-cost failure sensor design and development for water pipeline distribution systems
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6. Detecting strange attractors in fluid turbulence
7. Neural network for leak detection in pipeline distribution networks