Abstract:Detection and criticality assessment of defects appearing in inaccessible locations in pipelines pose a great challenge for many industries. Inspection methods which allow for remote defect detection and accurate characterisation are needed. Guided wave testing (GWT) is capable of screening large lengths of pipes from a single device position, however it provides very limited individual feature characterisation. This paper adapts Plane Wave Imaging (PWI) to pipe GWT to improve defect characterization for inspe… Show more
“…In the case of pipe walls, UGWs can travel not only along the shortest, direct path between two points but also helically along the pipe wall (Fig. 2) [5][6][7] . The helical paths can be classified by their chirality, i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Such indicators might be, for example, a decrease in pressure along the equipment. Direct localization of fouling could be beneficial as it gives a more detailed picture of the equipment and further allows the cleaning of the fouled pipe sections without affecting the rest of the system.Ultrasonic guided waves (UGWs) are used to investigate pipelines over long ranges [4][5][6][7] due to their sensitivity to fouling 8,9 . The wave propagation speed depends on the effective thickness of the pipeline wall, and accumulated fouling has the effect of increasing the effective wall thickness.…”
mentioning
confidence: 99%
“…Ultrasonic guided waves (UGWs) are used to investigate pipelines over long ranges [4][5][6][7] due to their sensitivity to fouling 8,9 . The wave propagation speed depends on the effective thickness of the pipeline wall, and accumulated fouling has the effect of increasing the effective wall thickness.…”
We present a novel internet of things (IoT) sensing platform that uses helical propagation paths of ultrasonic guided waves (UGWs) for structural health monitoring. This wireless sensor network comprises multiple identical sensor units that communicate with a host PC. The units have dedicated hardware to both generate and receive ultrasonic signals, as well as RF signals for use in triggering the sensors. The system was developed for monitoring and sensing pipelines and similar structures in real-time to facilitate interactive sensing. For accurate sensing with a limited number of arbitrarily scattered sensors, we obtain information from all sensor pairs and analyze helical propagation paths in addition to the commonly used shortest paths. UGWs can propagate long distances along the walls of pipelines, and their propagation velocity depends directly on the thickness of the waveguide, and is affected by energy leakage and mass loading. In this paper, we evaluated the network by utilizing it to detect fouling. The network could be adapted for further ultrasonic measurement tasks, e.g., measuring wall thicknesses or monitoring defects with pulse-echo methods.
“…In the case of pipe walls, UGWs can travel not only along the shortest, direct path between two points but also helically along the pipe wall (Fig. 2) [5][6][7] . The helical paths can be classified by their chirality, i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Such indicators might be, for example, a decrease in pressure along the equipment. Direct localization of fouling could be beneficial as it gives a more detailed picture of the equipment and further allows the cleaning of the fouled pipe sections without affecting the rest of the system.Ultrasonic guided waves (UGWs) are used to investigate pipelines over long ranges [4][5][6][7] due to their sensitivity to fouling 8,9 . The wave propagation speed depends on the effective thickness of the pipeline wall, and accumulated fouling has the effect of increasing the effective wall thickness.…”
mentioning
confidence: 99%
“…Ultrasonic guided waves (UGWs) are used to investigate pipelines over long ranges [4][5][6][7] due to their sensitivity to fouling 8,9 . The wave propagation speed depends on the effective thickness of the pipeline wall, and accumulated fouling has the effect of increasing the effective wall thickness.…”
We present a novel internet of things (IoT) sensing platform that uses helical propagation paths of ultrasonic guided waves (UGWs) for structural health monitoring. This wireless sensor network comprises multiple identical sensor units that communicate with a host PC. The units have dedicated hardware to both generate and receive ultrasonic signals, as well as RF signals for use in triggering the sensors. The system was developed for monitoring and sensing pipelines and similar structures in real-time to facilitate interactive sensing. For accurate sensing with a limited number of arbitrarily scattered sensors, we obtain information from all sensor pairs and analyze helical propagation paths in addition to the commonly used shortest paths. UGWs can propagate long distances along the walls of pipelines, and their propagation velocity depends directly on the thickness of the waveguide, and is affected by energy leakage and mass loading. In this paper, we evaluated the network by utilizing it to detect fouling. The network could be adapted for further ultrasonic measurement tasks, e.g., measuring wall thicknesses or monitoring defects with pulse-echo methods.
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