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Titel:

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants using Machine Vision Techniques

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
FahimiPirehgalin, Mina; Trunzer, Emanuel; Odenweller, Matthias; Vogel-Heuser, Birgit
Abstract:
Pipeline leakage is a critical issue in large-scale process plants. Damages in the pipelines affect the normal operation of the plant and increase the maintenance cost. Furthermore, they cause unsafe and hazardous situation for the operators. Therefore, detection and localization of leakages is a crucial task for maintenance and condition monitoring. Recently, using IR cameras for leakage detection in large-scale plants was found as a promising approach. IR cameras can capture the leaking liquid...     »
Zeitschriftentitel:
Special Issue on Intelligent Manufacturing
Jahr:
2020
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