Adelaide Research & Scholarship: Search

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Preview	Issue Date	Title	Author(s)
	2020	Leak detection in virtually isolated pipe sections within a complex pipe system using a two-source-four-sensor transient testing configuration	Shi, H.; Gong, J.; Simpson, A.R.; Zecchin, A.C.; Lambert, M.F.
	2020	Detection of emerging through-wall cracks for pipe break early warning in water distribution systems using permanent acoustic monitoring and acoustic wave analysis	Gong, J.; Lambert, M.F.; Stephens, M.L.; Cazzolato, B.S.; Zhang, C.
	2020	Inverse wave reflectometry method for hydraulic transient-based pipeline condition assessment	Zeng, W.; Zecchin, A.C.; Gong, J.; Lambert, M.F.; Simpson, A.R.; Cazzolato, B.S.
	2020	Leak-before-break main failure prevention for water distribution pipes using acoustic smart water technologies: case study in Adelaide	Stephens, M.; Gong, J.; Zhang, C.; Marchi, A.; Dix, L.; Lambert, M.F.
	2020	Identifying head accumulation due to transient wave superposition in pipelines	Bohorquez, J.; Lambert, M.F.; Simpson, A.
	2020	Paired-IRF Method for Detecting Leaks in Pipe Networks	Zeng, W.; Gong, J.; Simpson, A.R.; Cazzolato, B.S.; Zecchin, A.C.; Lambert, M.F.
	2020	Bayesian inverse transient analysis for pipeline condition assessment: parameter estimation and uncertainty quantification	Zhang, C.; Lambert, M.F.; Gong, J.; Zecchin, A.C.; Simpson, A.R.; Stephens, M.L.
	2020	Leak detection for pipelines using in-pipe optical fiber pressure sensors and a paired-IRF technique	Zeng, W.; Gong, J.; Cook, P.R.; Arkwright, J.W.; Simpson, A.R.; Cazzolato, B.S.; Zecchin, A.C.; Lambert, M.F.
	2022	Stochastic Resonance Enhancement for Leak Detection in Pipelines Using Fluid Transients and Convolutional Neural Networks	Bohorquez Arevalo, J.; Lambert, M.F.; Alexander, B.; Simpson, A.R.; Abbott, D.
	2022	Optimal Pipe Network Sensor Layout Design for Hydraulic Transient Event Detection and Localization	Zecchin, A.C.; Do, N.; Gong, J.; Leonard, M.; Lambert, M.F.; Stephens, M.L.