THESIS
2018
xvi, 163 pages : illustrations (chiefly color) ; 30 cm
Abstract
Urban Water Supply Systems (UWSS) are critical for supporting human life in the urban
environment. Therefore detecting faults in UWSS before and after they happen has become
a key global goal. The objective of this thesis is therefore to develop tools and models in
support of detecting leaks and blockages in water pipelines. The thesis makes two important
contributions. The first contribution is the development of a high precision measurement
system for UWSS related applications. This includes designing a robust Noise Measurement
System, a Low Frequency Vector Network Analyzer for water pipeline channel measurements
and a flexible signal generator and acquisition system for performing defect detection experiments. The second contribution of this thesis is the development of a com...[
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Urban Water Supply Systems (UWSS) are critical for supporting human life in the urban
environment. Therefore detecting faults in UWSS before and after they happen has become
a key global goal. The objective of this thesis is therefore to develop tools and models in
support of detecting leaks and blockages in water pipelines. The thesis makes two important
contributions. The first contribution is the development of a high precision measurement
system for UWSS related applications. This includes designing a robust Noise Measurement
System, a Low Frequency Vector Network Analyzer for water pipeline channel measurements
and a flexible signal generator and acquisition system for performing defect detection experiments. The second contribution of this thesis is the development of a comprehensive
acoustic noise model for water pipeline channels. This involves analyzing experimental data
of acoustic noise from a wide range of experimental conditions in laboratory test beds and operational UWSS systems. Using these results, characteristics such as power spectral density,
amplitude probability distributions and stationarity properties of acoustic noise in pipelines
have been modeled. The analysis of temporal variations in properties of noise also helped
in identification and classification of different types of noise sources and their influence on
the channel properties. Using these results, it is shown that acoustic pipeline noise follows
an α-stable distribution and a Wenz like framework for colored power spectral density. Furthermore, an acoustic noise model for pipeline channels is also delivered that can be used for
simulation and verification of leak and blockage detection techniques.
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