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Relevant bibliographies by topics / Acoustic emission analysis

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Academic literature on the topic 'Acoustic emission analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Acoustic emission analysis"

1

Rao, A. K. "Acoustic Emission and Signal Analysis." Defence Science Journal 40, no. 1 (January 1, 1990): 55–70. http://dx.doi.org/10.14429/dsj.40.4450.

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Fenenko, K. A. "Cluster analysis of acoustic emission signals from the friction zone of tribosystems." Problems of tribology 25, no. 2 (June 5, 2020): 25–33. http://dx.doi.org/10.31891/2079-1372-2020-96-2-25-33.

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Yu, Zhen‐zhong, and Philip C. Clapp. "Quantitative analysis of acoustic emission signals." Journal of Applied Physics 62, no. 6 (September 15, 1987): 2212–20. http://dx.doi.org/10.1063/1.339525.

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MASLOV, L., and O. GRADOV. "Fracture energy analysis via acoustic emission." International Journal of Fatigue 8, no. 2 (April 1986): 67–71. http://dx.doi.org/10.1016/0142-1123(86)90055-1.

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Yu, Yang, and Jia Zhao. "Study on Denoising of Corrosion Acoustic Emission Signals of Tank Bottom Based on Independent Component Analysis." Applied Mechanics and Materials 142 (November 2011): 180–83. http://dx.doi.org/10.4028/www.scientific.net/amm.142.180.

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When tank bottom is detected by acoustic emission method, many corrosion acoustic emission signals can be obtained and adulterated many noise signals, which influence badly the estimation to the corrosion situation of tank bottom. In order to identify acoustic emission sources and disturbance sources without changing the characterization of acoustic emission sources, independent component analysis is used to deal with the denoising of corrosion acoustic emission signals of tank bottom in this paper. In the paper, acoustic emission signals of double exponential model is respectively mixed with white noise signals and stochastic noise signals, and acoustic emission sources and disturbance sources are respectively represented by double exponential model of acoustic emission signals and noise signals, which are independent on statistics, and then FastICA is used to simulation analysis, which is successful to identify acoustic emission signals and white noise signals. The results demonstrate that fastICA is effective to denoise acoustic emission signals.

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Shi, Jian, and Peng Wang. "Characteristics Analysis of Acoustic Emission Signals from Titanium under Tensile Fracture." Advanced Materials Research 335-336 (September 2011): 1459–64. http://dx.doi.org/10.4028/www.scientific.net/amr.335-336.1459.

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The parameters of acoustic emission signals were analyzed which titanium plate specimens with crack under tension fracture process used acoustic emission technique. Based on the results of stress-strain curves, crack opening displacement-time curves and CCD images, the relationship between parameters of acoustic emission signal and mechanical behavior of the titanium was investigated. The results show acoustic emission signals increased significantly during yield, crack propagation and fracture with different load speeds, the energy amplitude range of acoustic emission signals was mainly from 50dB to 65dB. The characteristic parameters including AE energy, hit and amplitude can be used to represent the mechanical and inner deformation form of titanium during plastic deformation and fracture process.

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Ji, Ming, Nong Zhang, and Feng Gao. "Damage Evolution Analysis of Calcareous Mudstone with Different Water Content under Uniaxial Compression." Advanced Materials Research 168-170 (December 2010): 1388–95. http://dx.doi.org/10.4028/www.scientific.net/amr.168-170.1388.

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Uniaxial compression and acoustic emission experiments of calcareous mudstone with different water content were carried out by using microcomputer controlled electro-hydraulic servo compression testing machine control system of YAW series equipped by coal-rock acoustic and electric data acquisition system of CTA-1-type. Mchanical properties and acoustic emission law of calcareous mudstone were studied. It is concluded from experiment result that rock’s elastic modulus and compressive strength both decrease with increase water content but peak stress shows the opposite trend. It is also found that calcareous mudstone is brittleness with low water content but when water content reaches saturation, calcareous mudstone presents plastic features. Acoustic emission curve fits well with stress-strain curve: acoustic emission activity begins intensifying when stress reaches 70% of peak stress, correspondingly, acoustic emission is up to maximum at peak stress. Based on Weibull hypothesis and acoustic emission experiment, damage law of water bearing calcareous mudstone is researched and damage evolution equation with time variable is advanced.

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SAKASHITA, TETSUFUMI. "Frequency analysis of an evoked acoustic emission." AUDIOLOGY JAPAN 33, no. 5 (1990): 501–2. http://dx.doi.org/10.4295/audiology.33.501.

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Kiselev, J., B. Ziegler, H. J. Schwalbe, R. P. Franke, and U. Wolf. "Detection of osteoarthritis using acoustic emission analysis." Medical Engineering & Physics 65 (March 2019): 57–60. http://dx.doi.org/10.1016/j.medengphy.2019.01.002.

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Varlow, B. R., J. Zhao, D. W. Auckland, and C. D. Smith. "Acoustic emission analysis of high voltage insulation." IEE Proceedings - Science, Measurement and Technology 146, no. 5 (September 1, 1999): 260–63. http://dx.doi.org/10.1049/ip-smt:19990471.

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Dissertations / Theses on the topic "Acoustic emission analysis"

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Mathiyaparanam, Jeyisanker. "Analysis of acoustic emission in cohesionless soil." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001715.

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Elfergani, Hisham. "Acoustic emission analysis of prestressed concrete structures." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/49383/.

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This thesis examines the role of Acoustic Emission (AE) as a non-destructive testing (NDT) technique for prestressed and reinforced concrete structures. The work focuses on the development of experimental techniques and data analysis methods for the detection, location and assessment of AE from prestressed and reinforced concrete specimens. This thesis reveals that AE can be used to detect the onset of corrosion activity in wire in the interface between prestressed concrete and mortar as found in prestressed concrete pipes. Furthermore, this technique can be used to locate the corrosion activity on different size prestressed concrete samples. By correlation between three parameters of classical AE analysis techniques (traditional parameters), damage can be detected and located whilst the corrosion area, macro crack and crack propagation can be identified. However, it cannot classify the crack type. Different damage modes, including corrosion activity, micro/macro cracking formation, crack propagation and wire failure generate different types of AE signals with varying amplitudes and absolute energy emitted. A novel analysis approach has been used on composite materials (concrete, mortar and steel) to evaluate differing crack types by a combination of the classical acoustic emission analysis technique and advanced analysis Rise time / Amplitude (RA) and Average Frequency (AF), results proved the effectiveness of the developed techniques for damage detection and classification crack types. The relationship between RA value and AF value can be used to determine the crack area and classify it as either tensile crack type, other type (shear movement) or no crack. The results of the research have demonstrated that the AE technique is valid in larger scale monitoring and hence the potential for monitoring real structures such as prestressed concrete pipes. Use of Kernel Density Estimation Function (KDEF) provides improved visualisation of the data to represent clearly the RA/AF values. Key Words: Acoustic Emission, Corrosion, Reinforced Concrete, Prestressed Concrete, Micro and Macro Concrete Cracks, Crack classification, Source Location, Damage Assessment, Monitoring.

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Miller, D. G. "Acoustic emission analysis of an automotive paint system." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/47293.

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Mirhadizadeh, S. A. "Monitoring hydrodynamic bearings with acoustic emission and vibration analysis." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7888.

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Acoustic emission (AE) is one of many available technologies for condition health monitoring and diagnosis of rotating machines such as bearings. In recent years there have been many developments in the use of Acoustic Emission technology (AET) and its analysis for monitoring the condition of rotating machinery whilst in operation, particularly on high speed machinery. Unlike conventional technologies such as oil analysis, motor current signature analysis (MCSA) and vibration analysis, AET has been introduced due to its increased sensitivity in detecting the earliest stages of loss of mechanical integrity. This research presents an experimental investigation that is aimed at developing a mathematical model and experimentally validating the influence of operational variables such as film thickness, rotational speed, load, power loss, and shear stress for variations of load and speed conditions, on generation of acoustic emission in a hydrodynamic bearing. It is concluded that the power losses of the bearing are directly correlated with acoustic emission levels. With exponential law, an equation is proposed to predict power losses with reasonable accuracy from an AE signal. This experimental investigation conducted a comparative study between AE and Vibration to diagnose the rubbing at high rotational speeds in the hydrodynamic bearing. As it is the first known attempt in rotating machines. It has been concluded, that AE parameters such as amplitude, can perform as a reliable and sensitive tool for the early detection of rubbing between surfaces of a hydrodynamic bearing and high speed shaft. The application of vibration (PeakVue) analysis was introduced and compared with demodulation. The results observed from the demodulation and PeakVue techniques were similar in the rubbing simulation test. In fact, some defects on hydrodynamic bearings would not have been seen in a timely manner without the PeakVue analysis.In addition, the application of advanced signal processing and statistical methods was established to extract useful diagnostic features from the acquired AE signals in both time and frequency domain. It was also concluded that the use of different signal processing methods is often necessary to achieve meaningful diagnostic information from the signals. The outcome would largely contribute to the development of effective intelligent condition monitoring systems which can significantly reduce the cost of plant maintenance. To implement these main objectives, the Sutton test rig was modified to assess the capability of AET and vibration analysis as an effective tool for the detection of incipient defects within high speed machine components (e.g. shafts and hydrodynamic bearings). The first chapter of this thesis is an introduction to this research and briefly explains motivation and the theoretical background supporting this research. The second and third chapters, summarise the relevant literature to establish the current level of knowledge of hydrodynamic bearings and acoustic emission, respectively. Chapter 4 describes methodologies and the experimental arrangements utilized for this investigation. Chapter 5 discusses different NDT diagnosis. Chapter 6 reports on an experimental investigation applied to validate the relationship between AET on operational rotating machines, such as film thickness, speed, load, power loss, and shear stress. Chapter 7 details an investigation which compares the applicability of AE and vibration technologies in monitoring a rubbing simulation on a hydrodynamic bearing.

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Evans, Mark Julian. "The use of diffuse field measurements for acoustic emission." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267787.

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Moghisi, M. "Ultrasonic and acoustic emission studies of plasma sprayed coatings." Thesis, University of Bath, 1985. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332455.

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This work assesses the potentials of two NDE techniques namely ultrasonic C-scan and acoustic emission for evaluating plasma sprayed coating quality. The coating materials used were aluminium (Metco 54), alumina (Metco 105), molybdenum (Mob3) and self-fusing molybdenum (Mo5O5). It has been established that ultrasonic C-scan imaging can reliably detect thickness variations of the order of 0.05mm in plasma sprayed coatings. Also, by using this technique it is possible to detect the presence of delamination or lack of adhesion between the coating and substrate. Although it was only possible to produce aluminium and alumina coatings with artificially introduced adhesion defects, it has been shown that the presence of such defects in other coatings can also be detected. It has been established that an ultrasonic C-scan technique is not sensitive to the process parameters of plasma spraying. The process parameters investigated were; poor surface preparation, input power and surface cooling. Another major limitation of ultrasonic C-scan technique is the geometrical restrictions where components with high curvatures can not be tested. Acoustic emission activities from plasma sprayed coatings were monitored during four point bend testing. Samples sprayed on poorly prepared surfaces or sprayed without coolant air could be distinguished from control samples using AE characteristics at low strain levels. Also the AE response of the alumina coatings reflected the thickness of the coatings. Thicker coatings produced more AE events. The AE response of the molybdenum (Mo63) and self-fusing molybdenum (Mo5O5) coatings were complex. It was found that they were related to the residual stresses in the coatings. Aluminium coatings showed very little acoustic emission activities.

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Shum, Pak W. "A critical analysis of the acoustic emmission technique for NDE of pressure vessels." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09192009-040341/.

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Faisal, Nadimul Haque. "Acoustic emission analysis for quality assessment of thermally sprayed coatings." Thesis, Heriot-Watt University, 2009. http://hdl.handle.net/10399/2295.

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This study describes a new approach to the quality assessment of thermally sprayed carbide and ceramic coatings produced by High Velocity Oxy-Fuel (HVOF) and Air Plasma Spray (APS) processes. The aim of the work was to develop an experimental methodology based on Acoustic Emission (AE) monitoring of a dead-weight Vickers indentation to assess the degree of cracking and hence the toughness of the coating. AE monitoring was also applied to an industrial process as a contribution to the possibility of quality assessment during the deposition process. AE data were acquired during indentation tests on samples of coating of nominal thickness 250-325 μm at a variety of indentation loads ranging from 49 to 490 N. Measurements were carried out on six different thick-film coatings (as-sprayed HVOFJP5000/ JetKote WC-12%Co, HIPed HVOF-JetKote WC-12%Co, as-sprayed HVOFJP5000 WC-10%Co-4%Cr, conventional powder APS-Metco/9MB Al2O3 and fine powder HVOF-theta gun Al2O3) and also on soft and hard metallic samples and metals. The raw AE signals were analysed along with force and displacement history and the total surface crack length around the indent determined. Also, a selection of the indents was sectioned in order to make some observations on the sub-surface damage. The results show characteristic AE time evolutions during indentation for tough metals, hard metals, and carbide and ceramic coatings. Within each category, AE can be used as a suitable surrogate for crack length measurement for assessing coating quality. Finally, a preliminary observation on AE monitoring during HVOF (JP5000) WC- 10%Co-4%Cr thermal spraying was made. It was found that AE is sensitive to individual particle landings during thermal spraying and therefore can, in principle, be used to monitor the spray process.

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Flannigan, James Christopher. "Acoustic emission monitoring of fiber reinforced bridge panels." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/890.

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Elghamry, Mohamed Hussein. "Performance and condition monitoring of reciprocating machines using acoustic emission." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/1125.

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Books on the topic "Acoustic emission analysis"

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Aggelis, D. G. Characterization of advanced structural materials by acoustic emission indices. Hauppauge, N.Y: Nova Science Publishers, 2011.

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2

Walker, James L. An acoustic emission and acousto-ultrasonic analysis of impact damaged composite pressure vessels. [Washington, DC: National Aeronautics and Space Administration, 1996.

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L, Walker James. An acoustic emission and acousto-ultrasonic analysis of impact damaged composite pressure vessels. [Washington, DC: National Aeronautics and Space Administration, 1996.

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Walker, James L. An acoustic emission and acousto-ultrasonic analysis of impact damaged composite pressure vessels. [Washington, DC: National Aeronautics and Space Administration, 1996.

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Dudko, Yuriy V. Analysis of seismo-acoustic emission from ice fracturing events during SIMI'94. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1999.

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Dudko, Yuriy V. Analysis of seismo-acoustic emission from ice fracturing events during SIMI'94. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1999.

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7

Jambakhsh, Reza Mohammad. Analysis of low frequency acoustic emission from particulate matter immersed in water. Sudbury, Ont: Laurentian University, Department of Physics and Astronomy, 1990.

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8

Walker, James L. Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens. [Washington, DC: National Aeronautics and Space Administration, 1993.

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9

Fifield, R. F. Design of a realtime acoustic emission analyser. Manchester: UMIST, 1994.

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10

Yu, Qing Huan. Acoustic emission: Measurement and analysis for metal cutting. 1988.

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Book chapters on the topic "Acoustic emission analysis"

1

Shiotani, Tomoki, Yoshihiro Mizutani, Hideyuki Nakamura, and Shigenori Yuyama. "Practical AE Testing, Data Recording and Analysis." In Practical Acoustic Emission Testing, 61–99. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55072-3_5.

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Enoki, Manabu, and Teruo Kishi. "Acoustic Emission Waveform Analysis in Composites." In Review of Progress in Quantitative Nondestructive Evaluation, 1499–506. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3742-7_47.

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Aggelis, Dimtrios G. "Acoustic Emission Analysis for NDE in Concrete." In RILEM State-of-the-Art Reports, 69–88. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7606-6_5.

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Hensman, J., and K. Worden. "Wavelet Based Feature Extraction for Acoustic Emission." In Experimental Analysis of Nano and Engineering Materials and Structures, 921–22. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6239-1_458.

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Holford, K. M., and R. Pullin. "Current Practice and Applications of Acoustic Emission." In Experimental Analysis of Nano and Engineering Materials and Structures, 927–28. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6239-1_461.

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Carpinteri, Alberto, Giuseppe Lacidogna, and Amedeo Manuello. "Damage Mechanisms Interpreted by Acoustic Emission Signal Analysis." In Damage Assessment of Structures VII, 577–82. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-444-8.577.

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Nazarchuk, Zynoviy, Valentyn Skalskyi, and Oleh Serhiyenko. "Analysis of Acoustic Emission Caused by Internal Cracks." In Foundations of Engineering Mechanics, 75–105. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49350-3_3.

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Enoki, M., H. Fujita, and T. Kishi. "Quantitative Fracture Mode Analysis of Composites by Acoustic Emission." In Review of Progress in Quantitative Nondestructive Evaluation, 443–50. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5947-4_59.

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Bohse, J., and T. Krietsch. "Damage Analysis of Composite Materials by Acoustic-Emission Examination." In Deformation and Fracture Behaviour of Polymers, 385–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04556-5_26.

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Daniel, I. M., C. G. Sifniotopoulos, and J. J. Luo. "Analysis of Acoustic Emission Output from Propagating Fatigue Crack." In Review of Progress in Quantitative Nondestructive Evaluation, 579–86. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5339-7_75.

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Conference papers on the topic "Acoustic emission analysis"

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Zheng, Gangtie, and Fai Ma. "Acoustic Emission: Data Analysis and Applications." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14664.

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Abstract Some applications and state-of-art of acoustic emission techniques are introduced in the present paper through an overview of publications in acoustic emission techniques. Attention is given to applications of acoustic emission techniques to the condition monitoring and damage feature extractions of reinforced concrete structures. With the use of numerical examples, major acoustic emission signal processing methods such as the wavelet transform, the Gabor transform, the bilinear time-frequency distribution, and the cepstral analysis are discussed.

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Gutten, Mroslav, Matej Kucera, Viktor Cefer, Peter Brncal, and Roman Jarina. "Analysis of Transformers by Acoustic Emission." In 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2020. http://dx.doi.org/10.1109/rtucon51174.2020.9316564.

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Hajikhani, Milad, Mehdi Ahmadi Najafabadi, Amir Refahi Oskouei, Amir Sharifi, and Mohammad Heidari. "Acoustic Emission Assessment of FRP Composites Delamination." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24385.

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Delamination is one of the most common failure modes of composite materials. It may result from imperfections in the production process or may be caused by service life conditions, such as impact by foreign objects. The presence of delamination in the composite material may reduce the overall stiffness. The geometrical parameters, material properties, loading conditions and mid-plane layouts are important factors which effect the initiation and growth of delamination. In this paper different types of mid-plane layouts are used. Test set up involved double cantilever beam to detect delamination of mode I. Experimental results have obtained from monotonic tests and have been shown good agreement between crack-growth data. Previous studies made on different composite materials have allowed us to set up a schematic model of acoustic emission. At current work, both different levels of absolute energy of acoustic emission signals (Ecum) and mechanical energy (GIcum) are identified for different mid-plane layouts. The experimental method has been applied to this work and allows continuous and alive monitoring of damage growth through delamination tests. Finally, used method by acoustic emission to obtain GIc was not in good agreement with ASTM methods and it is needed to find a new method based on acoustic emission to obtain GIc.

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Zhou, Michael Z., and Farrel J. Zwerneman. "Acoustic Emission Analysis on Fatigue Threshold Behavior." In X International Conference on Vehicle Structural Mechanics and CAE. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/971536.

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Ponti, Fabrizio, Vittorio Ravaglioli, Davide Moro, and Matteo De Cesare. "Diesel Engine Acoustic Emission Analysis for Combustion Control." In SAE 2012 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2012. http://dx.doi.org/10.4271/2012-01-1338.

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Burger, W., A. Albers, R. Scovino, and M. Dickerhof. "Acoustic Emission Analysis for Monitoring of Tribological Systems." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63117.

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Today, for the monitoring of hydrodynamic bearings, a multitude of measurement systems is available, of which however none has yet prevailed in practice. A practicable and effective principle to detect first rubbing processes in nonstationary charged sliding contacts is still missing. E. g., a failing bearing in a ship’s engine may lead to the threat of machine, ship and environment as far as to human lives, and certainly to high repairing costs and downtime. Failure-free running machinery demands efficient and reliable monitoring systems which make possible to evaluate the current condition of the bearing arrangement in operation.

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Asamene, Kassahun, Wesley Williams, and Mannur Sundaresan. "Experimental analysis of fretting related acoustic emission signals." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Masayoshi Tomizuka. SPIE, 2011. http://dx.doi.org/10.1117/12.880583.

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Bhuiyan, Md Yeasin, Jingjing Bao, Banibrata Poddar, and Victor Giurgiutiu. "Analysis of acoustic emission waveforms from fatigue cracks." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Tribikram Kundu. SPIE, 2017. http://dx.doi.org/10.1117/12.2258337.

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Wei-Kui Wang, Yi-Bo Li, Yi-Nan Li, and Yu Zhang. "An Acoustic emission event determination method for acoustic emission testing of tank bottom based on cluster analysis." In 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2013. http://dx.doi.org/10.1109/aim.2013.6584339.

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Lee, Min-Rae, and Joon-Hyun Lee. "Leak Detection of the Pipeline Using Acoustic Emission Technique." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2839.

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This paper presents an approach to leak detection of pipeline review in term of theoretical analysis such as acoustics and hydromechanics that should be accompanied by explanation of leakage. The acoustic emission signals during leak from a circular hole of different geometries were studied both analytically and experimentally. The relationships between acoustic parameters and fluid mechanical parameters also were derived analytically. A quadrupole aerodynamic model was applied in the analysis of leak form the circular hole. Computer simulation results demonstrate the effectiveness of the proposed approach. In addition, the leak source location results are also presented by employing the wavelet transform.

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Reports on the topic "Acoustic emission analysis"

1

Gerberich, W. W. Micromechanisms of brittle fracture: Acoustic emissions and electron channeling analyses. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6494088.

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