Localizing Fouling in Water-Filled Pipe with Laser-Induced Non-Axisymmetric Guided Waves

Mustonen, Joonas; Suorsa, Joonas; Iablonskvi, Denys; Klami, Arto; Salmi, Ari; Hreggstrom, Edward

doi:10.1109/ius54386.2022.9957524

Cited by 1 publication

(1 citation statement)

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“…Monitoring these changes aids the assessment of the fouling condition in the pipe 8,[28][29][30][31][32] . This is possible, as the thickness of the wall is much smaller than the diameter of the pipe.…”

Section: Methodsmentioning

confidence: 99%

Wireless and battery-operatable IoT platform for cost-effective detection of fouling in industrial equipment

Korsimaa,

Weber,

Salminen

et al. 2024

Sci Rep

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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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