
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Damage Detection and Localisation in Buried Pipelines using Entropy in Information Theory
handle: 11583/2852164
In recent years, entropy measures, and more specifically, spectral entropy have emerged as an efficient method for the damage assessment of both mechanical systems and civil structures. In the present work, entropy measures are applied as a damage-sensitive feature for the real-time structural health monitoring of buried pipelines. The management of these underground Fluids Distribution Systems (FDSs) is critical for supplying clean water, oil, gas, and other goods. However, the health state of these systems tends to deteriorate over time so that they become more vulnerable to leaks or catastrophic failure events. Maintenance surveys and visual inspections are expensive and labour-intensive, due to the difficulties in accessing buried pipelines. Thus, Vibration-Based Inspection (VBI) techniques and continuous monitoring would be perfectly suited for the task. The approach is validated numerically on the soil-structure models of a typical pipeline structure (i.e. Steel Pipes - SPs).
Steel Pipes; Pipeline Inspection Management; Oil & Gas Engineering; Wiener Entropy; Structural Health Monitoring; Real-Time Monitoring; Damage Localisation; Information Theory
Steel Pipes; Pipeline Inspection Management; Oil & Gas Engineering; Wiener Entropy; Structural Health Monitoring; Real-Time Monitoring; Damage Localisation; Information Theory
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
