Toward a non-destructive diagnostic analysis tool of exercises pipelines: models and experiences

Bolzon, Gabriella; Talassi, Marco

doi:10.1016/j.prostr.2018.12.107

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Thanks to the use of metadata and advanced IT systems of collection analysis, data from various sources can be analyzed in order to detect the phenomena important for decision making in water companies [5]. At the turn of the 20th and 21st centuries, it was pointed out that data from continuous monitoring of industrial processes, necessary for supervision and automatic control, can also be used to detect failure situations using numerical diagnostic tools [6,7]. Initially, procedures were introduced to control the correctness of measuring devices and then to detect unusual states of operation of technical devices [8,9].…”

Section: Introductionmentioning

confidence: 99%

The Analysis of Water Supply Operating Conditions Systems by Means of Empirical Exponents

Stańczyk

Burszta‐Adamiak

2019

Water

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The stochastic character of water consumption by consumers and the technical condition of water supply systems are the main deterministic random factors influencing the observed changes in flow rate and pressure. The implementation of Supervisory Control and Data Acquisition (SCADA) systems resulted in the creation of dispersed data sets coming from the devices controlling the operation of the water supply system. Thanks to the use of metadata and advanced computer systems of analysis, data from various sources can be analyzed to detect the operating conditions of the water supply system. The aim of the research was to analyze an empirical exponent, determined on the basis of flow rate and pressure measurements for one of the District Metered Areas (DMAs). Modern supervised and unsupervised machine learning systems were implemented to classify the obtained results. The results of the research showed that on the basis of the established empirical exponent in the systems in which the pressure is reduced at night, it is possible to qualify the operating conditions of the water supply system in the DMA with accuracy of up to 90%. The conducted tests may be implemented as a component of expert diagnostic systems in water companies.

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