Phased acoustic emission sensor array for localizing radial and axial positions of defects in hollow structures
TL;DR: In this paper, a phase array acoustic emission (AE) localization strategy is introduced to localize both radial and axial positions of defects by considering the actual trajectory of propagating elastic waves.
About: This article is published in Measurement.The article was published on 2020-02-01. It has received 17 citations till now. The article focuses on the topics: Acoustic emission & Sensor array.
Citations
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01 Jul 1983
TL;DR: In this paper, the authors described typical acoustic emission signal characteristics and techniques which localize the signal source by processing the acoustic delay data from multiple sensors are discussed, which includes sensors, amplifiers, pulse counters, a minicomputer and output devices.
Abstract: Typical acoustic emission signal characteristics are described and techniques which localize the signal source by processing the acoustic delay data from multiple sensors are discussed. The instrumentation, which includes sensors, amplifiers, pulse counters, a minicomputer and output devices is examined. Applications are reviewed.
51 citations
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TL;DR: A fault localization method to obtain the defect position on a bearing based on the spatial localization of acoustic emission (AE) is proposed and the results demonstrate that this method can locate AE sources.
17 citations
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TL;DR: In this article, a new acoustic emission (AE) characteristic was introduced to determine the deformation stage of metals under quasi-static loading, which was extracted from the derivative of the cumulative AE energy with respect to time.
11 citations
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TL;DR: In this paper, the L-shaped sensor cluster technique is applied to the cylindrical surface of the pressure vessel, and the experimental results prove the applicability of using this technique.
Abstract: Acoustic source localization in a large pressure vessel or a storage tank-type cylindrical structure is important in preventing structural failure. However, this can be challenging, especially for cylindrical pressure vessels and tanks that are made of anisotropic materials. The large area of the cylindrical structure often requires a substantial number of sensors to locate the acoustic source. This paper first applies conventional acoustic source localization techniques developed for the isotropic, flat plate-type structures to cylindrical structures. The experimental results show that the conventional acoustic source localization technique is not very accurate for source localization on cylindrical container surfaces. Then, the L-shaped sensor cluster technique is applied to the cylindrical surface of the pressure vessel, and the experimental results prove the applicability of using this technique. Finally, the arbitrary triangle-shaped sensor clusters are attached to the surface of the cylindrical structure to locate the acoustic source. The experimental results show that the two acoustic source localization techniques using sensor clusters can be used to monitor the location of acoustic sources on the surface of anisotropic cylindrical vessels, using a small number of sensors. The arbitrarily triangle-shaped sensors can be arbitrarily placed in a cluster on the surface of the cylindrical vessel. The results presented in this paper provide a theoretical and experimental basis for the surface acoustic source localization method for a cylindrical pressure vessel and lay a theoretical foundation for its application.
8 citations
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TL;DR: In this article , the authors proposed a single-sensor acoustic emission (AE) diagnosis method based on deep learning (DL) for structural health monitoring (SHM) and initial damage intelligent identification of the engine.
6 citations
References
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11 Aug 2014
TL;DR: The semi-analytical finite element method (SAFE) has been used for guided wave modeling as discussed by the authors, which has been shown to be useful in the analysis and display of non-destructive testing.
Abstract: Preface Acknowledgments 1. Introduction 2. Dispersion principles 3. Unbounded isotropic and anisotropic media 4. Reflection and refraction 5. Oblique incidence 6. Waves in plates 7. Surface and subsurface waves 8. Finite element method for guided wave mechanics 9. The semi-analytical finite element method (SAFE) 10. Guided waves in hollow cylinders 11. Circumferential guided waves 12. Guided waves in layered structures 13. Source influence on guided wave excitation 14. Horizontal shear 15. Guided waves in anisotropic media 16. Guided wave phased arrays in piping 17. Guided waves in viscoelastic media 18. Ultrasonic vibrations 19. Guided wave array transducers 20. Introduction to guided wave nonlinear methods 21. Guided wave imaging methods Appendix A: ultrasonic nondestructive testing principles, analysis and display technology Appendix B: basic formulas and concepts in the theory of elasticity Appendix C: physically based signal processing concepts for guided waves Appendix D: guided wave mode and frequency selection tips.
823 citations
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TL;DR: The AIC-picker is compared to an automatic onset detection algorithm based on the Hinkley criterion and also adapted to acoustic emissions and produces sufficient reliable results for ultrasound signals where the deviation from the manual picks varies between 2% and 4%.
282 citations
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TL;DR: In this paper, an improved approach based on the Akaike Information Criterion (AIC) is proposed to provide more reliable onset time determination of acoustic emission (AE) signals.
Abstract: Acoustic emission (AE) technique, as an effective method to monitor the crack characterization in concrete materials is investigated in this paper. An improved approach, based on the Akaike Information Criterion (AIC), is proposed to provide more reliable onset time determination of AE signals. The introduced parameters, quantification of the certainty degree and the apparent velocity in the improved method can help to eliminate the false or doubtful picked onset results automatically. The improved AIC method is successfully applied to the AE detection during a three-point bending test of a fiber reinforced concrete beam to analyze the crack pattern. It is shown that the proposed method is a reliable tool for automatic onset time determination and useful for the crack source location in concrete structures.
140 citations
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TL;DR: In this paper, the feasibility and limitations of using in-pipe acoustic measurements for leak detection were addressed. And the authors presented an experimental investigation that addressed the feasibility of using acoustic measurements inside a water transmission pipeline.
Abstract: Acoustic leak-detection techniques are proven to be effective and have been widely used in water-distribution systems for several decades. Most of the existing acoustic leak-detection techniques rely on external measurements of sound emitted from the turbulent jet of water escaping the pipe. Direct acoustic measurements through hydrophones, which travel inside the pipe with the flow, have been recently addressed as an efficient complementary leak-detection technique. This paper presents an experimental investigation that addresses the feasibility and potential of in-pipe acoustic measurements for leak detection. An experimental test rig was constructed to simulate a water transmission pipeline and permits different leak sizes, flow rates, and pressures. The acquired acoustic signals were analyzed; the feasibility and limitations of invoking in-pipe measurements for leak detection were addressed. DOI: 10.1061/(ASCE)PS.1949-1204.0000089. © 2012 American Society of Civil Engineers. CE Database subject headings: Leakage; Acoustic techniques; Water pipelines; Measurement. Author keywords: Leak detection; Acoustics; Water pipelines; Hydrophones.
130 citations
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TL;DR: In this paper, a leak localization approach is proposed for pipeline networks spread in a two dimensional configuration, and the approach is to determine arrival time differences using cross correlation function, and introduce the geometric connectivity in order to identify the path that the leak waves should propagate to reach the AE sensors.
97 citations