A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview

Progress in Aerospace Sciences - Tập 90 - Trang 1-11 - 2017
Karen M. Holford1, Mark J. Eaton1, James J. Hensman2, Rhys Pullin1, Sam L. Evans1, Nikolaos Dervilis3, Keith Worden3
1Cardiff School of Engineering, Queens Buildings, The Parade, Newport Road, Cardiff CF24 3AA, UK
2Division of Medicine, Lancaster University, Lancaster LA1 4YB, UK
3University of Sheffield, Dept. of Mechanical Engineering, Mappin Street, Sheffield S1 3JD, UK

Tài liệu tham khảo

R. Miller, A. Anastasopoulos, M. Carlos, R. Demeski, H. Vallen, J. Walker, Acoustic Emission Signal Processing, 3rd Edition, ASNT, 2005, pp. 147–180. J. Hensman, K. Worden, Wavelet based feature extraction for acoustic emission, in: Experimental Analysis of Nano and Engineering Materials and Structures, Springer, 2007, pp. 921–922. R. Miller, M. Carlos, R. Findlay, V. Godinez-Azcuaga, M. Rhodes, F. Shu, W. Wang, Acoustic Emission Source Location, 3rd Edition, ASNT, 2005, pp. 121–146. Eaton, 2012, Towards improved damage location using acoustic emission, J. Mech. Eng. Sci. Proc. Inst. Mech. Eng. Part C, 226, 2141, 10.1177/0954406212449582 Ramirez-Jimenez, 2004, Identification of failure modes in glass/polypropylene composites by means of the primary frequency content of the acoustic emission event, Compos. Sci. Technol., 64, 1819, 10.1016/j.compscitech.2004.01.008 Short, 1984, Amplitude distribution acoustic emission signatures of unidirectional fibre composite hybride materials, Composites, 15, 200, 10.1016/0010-4361(84)90275-1 Eaton, 2007, Damage in carbon fibre composites, J. Acoust. Emiss., 25, 140 Crivelli, 2014, Development of an artificial neural network processing technique for the analysis of damge evolution in pultruded composites with acoustic emision, Compos. Part B, 56, 948, 10.1016/j.compositesb.2013.09.005 Godin, 2005, Integration of the kohonen's self-organising map and k-means algorithm for the segmantation of the ae data collected during tensile tests on cross-ply composites, NDT E Int., 38, 299, 10.1016/j.ndteint.2004.09.006 Crivelli, 2015, Localisation and identification of fatigue matrix cracking and delamination in a carbon fibre panel by acoustic emission, Compos. Part B, 74, 1, 10.1016/j.compositesb.2014.12.032 J. Zhao, K. Wang, Y. Guo, Acoustic emission signals classification based on support vector machine, in: Computer Engineering and Technology (ICCET), 2010 Proceedings of the 2nd International Conference on, Vol. 6, IEEE, 2010, pp. V6–300. Wang, 2013, Fault diagnostics of rolling element bearings based on complex measures and v support vector machines, Insight. Non-Destr. Test. Cond. Monit., 55, 142, 10.1784/insi.2012.55.3.142 Godin, 2004, Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers, NDT E Int., 37, 253, 10.1016/j.ndteint.2003.09.010 Momon, 2012, Unsupervised and supervised classification of ae data collected during fatigue test on cmc at high temperature, Compos. Part A, 43, 254, 10.1016/j.compositesa.2011.10.016 Manson, 2001, Visualisation and dimension reduction of acoustic emission data for damage detection, J. Intel. Mater. Syst. Strucutres, 12, 529, 10.1177/10453890122145375 Oskouei, 2012, Unsupervised acoustic emission data clustering for the analysis of damage mechanisms in glass/polyester composites, Mater. Des., 37, 416, 10.1016/j.matdes.2012.01.018 Pomponi, 2013, A real-time approach to acoustic emission clustering, Mech. Syst. Signal Process., 40, 791, 10.1016/j.ymssp.2013.03.017 Rippengill, 2003, Automatic classification of acoustic emission patterns, Strain, 39, 31, 10.1046/j.1475-1305.2003.00041.x Al-Jumaili, 2015, A parameter correction technique (pct) for acoustic emission characterisation in large-scale composites, Compos. Part B, 75, 336, 10.1016/j.compositesb.2015.01.044 Prosser, 1996, Advanced ae techniques in composite materials research, J. Acoust. Emiss., 14, 1 Pullin, 2005, Modal acoustic emission signals from artificail and fatigue crack sources in aerospace grade steel, Key Eng. Mater., 293–294, 217, 10.4028/www.scientific.net/KEM.293-294.217 Surgeon, 1999, Modal analysis of acoustic emission signals from cfrp laminates, NDT E Int., 32, 311, 10.1016/S0963-8695(98)00077-2 Eaton, 2011, Acoustic emission source characterisation in large-scale composite structures, Appl. Mech. Mater., 70, 381, 10.4028/www.scientific.net/AMM.70.381 McCrory, 2015, Damage classification in carbon fibre composites using acoustic emission, Compos. Part B, 68, 424, 10.1016/j.compositesb.2014.08.046 Hamstad, 2002, A wavelet transform applied to acoustic emission signals, J. Acoust. Emiss., 20, 39 Lee, 2003, Modelling of lamb waves for damage detection in metallic structures, Smart Mater. Struct., 12, 804, 10.1088/0964-1726/12/5/018 Lee, 2007, Lamb wave propagation modelling for damage detection, Smart Mater. Struct., 16, 249, 10.1088/0964-1726/16/2/003 Naber, 2007, Analytical and experimental validations of a numerical band-limited green's function approach for modelling acoustic emission waves, Adv. Eng. Softw., 38, 876, 10.1016/j.advengsoft.2006.08.037 Sause, 2010, Simulation of lamb wave excitation for different elastic properties and acoustic emission source geometries, J. Acoust. Emiss., 28, 142 Sause, 2012, Quantification of failure mechanisms in mode-i loading of fibre reinforced plastics utilizing acoustic emission analysis, Compos. Sci. Technol., 72, 167, 10.1016/j.compscitech.2011.10.013 M.G. Sause, S. Horn, Influence of internal discontinuities on ultrasonic signal propagation in carbon fiber reinforced plastics, in: Proceedings of the 30th European Conference on Acoustic Emission Testing and 7th International Conference on Acoustic Emission, 2012. Ostachowicz, 2012 Wilcox, 2006, Progress towards a forward model of the complete acoustic emission process, Adv. Mater. Res., 13–14, 69, 10.4028/www.scientific.net/AMR.13-14.69 P. Wilcox, C. Lee, J. Scholey, M. Friswell, M. Wisnom, B. Drinkwater, Quantitative structural health monitoring using acoustic emission, in: smart structures and integrated systems, Proceedings of the SPIE 6173, 2006, pp. 459–468. Scholey, 2009, A practical technique for quantifying the performance of acoustic emission systems on plate-like structures, Ultrasonics, 49, 538, 10.1016/j.ultras.2009.02.001 Aljets, 2010, Acoustic emission source location in plate like structures using a closely arranged triangular sensor array, J. Acoust. Emiss., 28, 85 Hamstad, 2002, A wavelet transform applied to acoustic emission signals, J. Acoust. Emiss., 20, 62 Jiao, 2004, Application of wavelet transform on modal acoustic emission source location in thin plates with one sensor, Int. J. Press. Vessels Pip., 81, 427, 10.1016/j.ijpvp.2004.03.009 Jiao, 2008, Acoustic emission source location methods using mode and frequency analysis, Struct. Control Health Monit., 15, 642, 10.1002/stc.220 Yamada, 2000, Lamb wave source location of impact on anisotropic plates, J. Acoust. Emiss., 18, 51 Lokajicek, 2006, A first arrival identification system of acoustic emission (ae) signals by means of a higher-order statistics approach, Meas. Sci. Technol., 17, 2461, 10.1088/0957-0233/17/9/013 Hensman, 2010, Locating acoustic emission sources in complex structures using gaussian processes, Mech. Syst. Signal Process., 24, 211, 10.1016/j.ymssp.2009.05.018 Kurz, 2005, Strategies for reliable automatic onset time picking of acoustic emission and of ultrasound signals in concrete, Ultrasonics, 43, 538, 10.1016/j.ultras.2004.12.005 Sedlak, 2009, New automatic localization technique of acoustic emission signals in thin plates, Ultrasonics, 49, 254, 10.1016/j.ultras.2008.09.005 Akaike, 1974, Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes, Ann. Inst. Stat. Math., 26, 363, 10.1007/BF02479833 C. Paget, K. Atherton, E. OBrien, Triangulation algorithm for damage location in aeronautical composite structures, in: Proceedings of the 4th International Workshop on Structural Health Monitoring (F. Chang, ed.), (Stanford, CA, USA), 2003, pp. 363–370. Kundu, 2007, Point of impact prediction in isotropic and anisotropic plates from teh acoustic emission data, J. Acoust. Soc. Am., 122, 2057, 10.1121/1.2775322 Kundu, 2008, Locating point of impact in anisotropic fibre reinforced composite plates, Ultrasonics, 48, 193, 10.1016/j.ultras.2007.12.001 Ciampa, 2010, A new algorithm for acoustic emission localisation and flexural group velocity determination in anisotropic structures, Compos. Part A, 41, 1777, 10.1016/j.compositesa.2010.08.013 M. Horn, Acoustic emission source location by reverse ray tracing, uS Patent 5, 528, 557 (Jun. 18 1996). J. Hensman, Novel techniques for acoustic emission monitoring of fatigue fractures in landing gear, Thesis, Faculty of Engineering, University of Sheffield, 2009. Baxter, 2007, Delta t source location for acoustic emission, Mech. Syst. Signal Process., 21, 1512, 10.1016/j.ymssp.2006.05.003 Eaton, 2012, Acoustic emission source location in composite materials using delta t mapping, Compos. Part A, 43, 856, 10.1016/j.compositesa.2012.01.023 ASTM., A standard guide for determining the reproducibility of acoustic emission sensor response, American Society for Testing and Materials, E976. Hsu, 1981, Characterization and calibration of acoustic emission sensors, Mater. Eval., 39, 60 Rasmussen, 2006 Bishop, 1995 Nabney, 2002 Hensman, 2009, Detecting and identifying artificial acoustic emission signals in an industrial fatigue environment, Meas. Sci. Technol., 20, 1, 10.1088/0957-0233/20/4/045101 Hensman, 2011, Spatial scanning for acoustic emission, Mech. Syst. Signal Process., 25, 2462, 10.1016/j.ymssp.2011.02.016 Neill, 2006, A bayesian spatial scan statistic, Adv. Neural Inf. Process. Syst., 18, 1003 Neill, 2007, A multivariate bayesian scan statistic, Adv. Dis. Surveill., 2, 60