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“New Pipe Notch Detection and Location Method for Short Distances employing Ultrasonic Guided Waves”

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dc.contributor.author Carlos Quiterio, Gómez Muñoz
dc.contributor.author García Márquez, Fausto Pedro
dc.contributor.author Lev, Benjamin
dc.contributor.author Arcos Jimenez, Alfredo
dc.date.accessioned 2017-12-15T13:03:57Z
dc.date.available 2017-12-15T13:03:57Z
dc.date.issued 2017-10
dc.identifier.citation - Acta Acustica united with Acustica- es_ES
dc.identifier.issn 1610-1928
dc.identifier.uri http://hdl.handle.net/10578/16079
dc.description.abstract This paper presents a novel signal processing approach that is able to automatically identify notches in pipelines in short distances. In addition, this method locates the geometric position of the notch and determines the size. The approach for fault detection and diagnosis presented look for a solution and then validates the solution by analyzing the signal which flows in the opposite direction. Micro Fiber Composite (MFC) transducers are used in an austenitic stainless steel pipeline, used in solar concentrators, in order to generate Ultrasonic Guided Waves. The main results presented in this paper can be summarized as: identification of edges or welds by multi-parametric analysis and comparison with the theoretical results predicted, notch location in the pipe by comparison of the position of echoes weighted with their amplitudes, and the flow sizing of them by using attenuation curves of the echoes when they propagate along the pipeline. This approach leads to employ only one transmitter and one receptor for notch detection, location and diagnosis. The main advantage for the industry is the double check of presence of a notch with respect to other systems, which reduces false alarms during the inspections. es_ES
dc.format application/pdf es_ES
dc.language.iso en es_ES
dc.rights info:eu-repo/semantics/closedAccess es_ES
dc.subject Fault detection es_ES
dc.title “New Pipe Notch Detection and Location Method for Short Distances employing Ultrasonic Guided Waves” es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.relation.projectID Research Grant DPI2015-67264-P. es_ES
dc.identifier.DOI https://doi.org/10.3813/AAA.919106

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