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Journal article
New Pipe Notch Detection and Location Method for Short Distances employing Ultrasonic Guided Waves
Acta acustica united with Acustica, v 103(5), pp 772-781
01 Sep 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- New Pipe Notch Detection and Location Method for Short Distances employing Ultrasonic Guided Waves
- Creators
- Carlos Quiterio Gomez Munoz - Univ Europea Madrid, Ingenium Res Grp, Madrid, SpainFausto Pedro Garcia Marquez - Univ Europea Madrid, Ingenium Res Grp, Madrid, SpainBenjamin Lev - Drexel Univ, LeBow Coll Business, Philadelphia, PA 19104 USAAlfredo Arcos - Univ Europea Madrid, Ingenium Res Grp, Madrid, Spain
- Publication Details
- Acta acustica united with Acustica, v 103(5), pp 772-781
- Publisher
- S Hirzel Verlag
- Number of pages
- 10
- Grant note
- DPI2015-67264-P / Spanish Ministerio de Economia y Competitividad; Spanish Government
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000411781500008
- Scopus ID
- 2-s2.0-85030556925
- Other Identifier
- 991019168134904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Acoustics