Modelling of Failure Rate of Water-pipe Networks

Abstract

The paper describes the reliability of selected water-pipe networks in Polish medium-sized cities X and Z. The IntroductionA water supply network is an essential part of the buried infrastructure. Water of proper quality should be delivered to consumers under the required pressure and in the required amount. In order to achieve these goals it is necessary to continuously monitor the technical condition of the water pipes. Proper maintenance and operation are critical for the reliability and safety of the water-pipe network. The control of the pressure inside the pipes is one of the measures leading to a decrease in the number of failures and in the unreliability of the whole system [4]. Another performance optimization measure is mathematical modelling and forecasting, which use typical models, artificial intelligence and some reliability indicators. Thanks to modelling one can relatively quickly assess the condition of water pipes [20]. According to many authors [3,15,17], the modelling of reliability indicators and technical condition and then using the modelling results by water utilities can lead to an increase in water supply network efficiency and in water quality. Also an improvement in the management of the system can be achieved in this way. Moreover, through modelling one can correctly estimate the costs of water pipe reconstruction [2,21].

Maximum Rainfall Model Based on Archival Pluviographic Records – Case Study for Legnica (Poland)

“…Simulation studies of functioning of the storm water drainage with accompanying facilities, such as storm water overflows [19,48], separators and reservoirs are becoming essential tools for use in engineering practice [32,35,36]. In recent years, many studies have focused on the assessment of the reliability and risks associated with the functioning of urban infrastructure systems [5,14,22,42,43,50], as well as the impact of changes climate for their functioning [16,21,23,25,28,29,37,41].…”

Comparison of Two Types of Artificial Neural Networks for Predicting Failure Frequency of Water Conduits

“…Research devoted to the determination of the water conduit failure intensity indicator and other factors having a bearing on the proper functioning of municipal water networks has been conducted in Poland and in the world for many years [6][7][8][9][10][11][12]. A widely known and described methodology [6,13], based on the failure occurrence probability calculus, is used to determine the parameters characterizing the level of reliability of water supply networks.…”

Prediction of Availability Indicator of Water Pipes Using Artificial Intelligence

“…Mathematical modeling of the reliability indicators of water-pipe network is a promising tool which seems to be used more often nowadays [6,7]. There are a lot of mathematical approaches which are used to estimate the technical condition and deterioration as well as the risk of failure of water pipes, e.g.…”