An integrated fuzzy-image processing approach based infrared thermography for failure detection and classification of the steam traps

• Autores: Mohsen Iranpour, Ali Saghafinia, Mohsen Ashorian
• Localización: QUID: Investigación, Ciencia y Tecnología, ISSN-e 2462-9006, ISSN 1692-343X, Nº. Extra 1, 2017, págs. 972-981
• Idioma: inglés
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• Resumen

  • Temperature is one of the most common indicators for the structural health of equipment and components. Nowadays, infrared thermography (IRT) is widely used as a condition-monitoring tool using measurement of the temperature in real time in a non-invasive and non-contact manner to reducing system down time, catastrophic breakdown, and maintenance cost. In this paper, IRT is used for inspection of Steam traps in steam transporting processes using image processing technique and classification of failure intensity in an intelligent model. In the intelligent model, an infrared camera is initially used to capture the thermal image, which is imported as input. The failure detection is performed in two stages.