Details of Grant 

EPSRC Reference:	GR/M15460/01
Title:	SYSTEMS AND ANALYSIS FOR PIPELINE LEAKAGE DETECTION MONITORING AND FAILURE PREDICTION
Principal Investigator:	Day, Professor AJ
Other Investigators:	Wood, Professor AS
Researcher Co-Investigators:
Project Partners:	Yorkshire Water
Department:	Mechanical and Medical Engineering
Organisation:	University of Bradford
Scheme:	Standard Research (Pre-FEC)
Starts:	01 August 1998	Ends:	28 February 2002	Value (£):	310,306
EPSRC Research Topic Classifications:	Water Engineering
EPSRC Industrial Sector Classifications:	Water
Related Grants:
Panel History:
Summary on Grant Application Form
It is proposed to investigate how sensors and data analysis based on pipeline signature, pattern recognition interpretation methods can be used to build a Neural Expert System which will automatically and continuously monitor a distribution network for normal and abnormal behaviour. Alarms will be raised when failure or leaks are detected and information about the location supplied. The proposed work aims to increase the effectiveness of water distribution management methods using high-density sensing of pipeline characteristics (e.g. pressure, strain, flow, temperature, acoustic response), with low-cost sensors supported by data-capture systems, artificial neural network, data fusion, rule based system and a spatial-temporal database to indicate current network state, and to predict and detect leakage.
Key Findings
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Further Information:
Organisation Website:	http://www.brad.ac.uk