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http://dx.doi.org/10.12989/sss.2017.19.2.195

Calculus of the defect severity with EMATs by analysing the attenuation curves of the guided waves  

Gomez, Carlos Q. (Ingenium Research Group, Castilla-La Mancha University)
Garcia, Fausto P. (Ingenium Research Group, Castilla-La Mancha University)
Arcos, Alfredo (Ingenium Research Group, Castilla-La Mancha University)
Cheng, Liang (Brunel Innovation Centre, Brunel University)
Kogia, Maria (Brunel Innovation Centre, Brunel University)
Papelias, Mayorkinos (School of Metallurgy and Materials, University of Birmingham)
Publication Information
Smart Structures and Systems / v.19, no.2, 2017 , pp. 195-202 More about this Journal
Abstract
The aim of this paper is to develop a novel method to determine the severity of a damage in a thin plate. This paper presents a novel fault detection and diagnosis approach employing a new electromagnetic acoustic transducer, called EMAT, together with a complex signal processing method. The method consists in the recognition of a fault that exists within the structure, the fault location, i.e. the identification of the geometric position of damage, and the determining the significance of the damage, which indicates the importance or severity of the defect. The main scientific novelties presented in this paper is: to develop of a new type of electromagnetic acoustic transducer; to incorporate wavelet transforms for signal representation enhancements; to investigate multi-parametric analysis for noise identification and defect classification; to study attenuation curves properties for defect localization improvement; flaw sizing and location algorithm development.
Keywords
fault detection and diagnosis; electromagnetic acoustic transducers; EMAT; wavelet transform; non destructive testing; attenuation curves; guided waves;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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1 Lee, H. and Sohn, H. (2012), "Damage detection for pipeline structures using optic-based active sensing", Smart Struct. Syst., 9(5), 461-472.   DOI
2 Light-Marquez, A., Sobin, A., Park, G. and Farinholt, K. (2011), Structural damage identification in wind turbine blades using piezoelectric active sensing, Springer
3 Marquardt, D.W. (1963), "An algorithm for least-squares estimation of nonlinear parameters", J. Soc. Ind. Appl. Math., 11(2), 431-441.   DOI
4 Marquez, F.P.G., Pedregal, D.J. and Roberts, C. (2015), "New methods for the condition monitoring of level crossings", Int. J. Syst. Sci., 46(5), 878-884.   DOI
5 Marquez, F.P.G., Tobias, A.M., Perez, J.M.P. and Papaelias, M. (2012), "Condition monitoring of wind turbines: Techniques and methods", Renew. Energ., 46, 169-178.   DOI
6 Marugan, A.P. and Marquez, F.P.G. (2015), "A novel approach to diagnostic and prognostic evaluations applied to railways: A real case study", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 0954409715596183.
7 Michaels, J.E. (2008), "Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors", Smart Mater. Struct., 17(3), 035035.   DOI
8 Munoz, C.Q.G., Marquez, F.P.G. and Tomas, J.M.S. (2016), "Ice detection using thermal infrared radiometry on wind turbine blades", Measurement, 93, 157-163.   DOI
9 Nguyen, K.D., Ho, D.D. and Kim, J.T. (2013), "Damage detection in beam-type structures via PZT's dual piezoelectric responses", Smart Struct. Syst., 11(2), 217-240.   DOI
10 Papaelias, M., Cheng, L., Kogia, M., Mohimi, A., Kappatos, V., Selcuk, C., Constantinou, L., Munoz, C.Q.G., Marquez, F.P.G. and Gan, T.H. (2016), "Inspection and structural health monitoring techniques for concentrated solar power plants", Renew. Energ.. 85 1178-1191.   DOI
11 Xu, Y., Huang, Q., Xia, Y. and Liu, H. (2015), "Integration of health monitoring and vibration control for smart building structures with time-varying structural parameters and unknown excitations", Smart Struct. Syst., 15(3), 807-830.   DOI
12 Betz, D.C., Staszewski, W.J., Thursby, G. and Culshaw, B. (2006), "Structural damage identification using multifunctional Bragg grating sensors: II. Damage detection results and analysis", Smart Mater. Struct., 15(5), 1313.   DOI
13 Pliego Marugan, A., Garcia Marquez, F.P. and Lorente, J. (2015), "Decision making process via binary decision diagram", Int. J. Manage. Sci. Eng. Manage., 10(1), 3-8.
14 Seshadri, B.R., Krishnamurthy, T. and Ross, R.W. (2016), "Characterization of Aircraft Structural Damage using Guided Wave Based Finite Element Analysis for in-Flight Structural Health Management".
15 Su, Z. and Ye, L. (2009), Identification of damage using Lamb waves: from fundamentals to applications, Springer Science & Business Media
16 Tweten, D.J., Okamoto, R.J., Schmidt, J.L., Garbow, J.R. and Bayly, P.V. (2015), "Estimation of material parameters from slow and fast shear waves in an incompressible, transversely isotropic material", J. Biomech., 48(15), 4002-4009.   DOI
17 Wang, Q., Yuan, S., Hong, M. and Su, Z. (2015), "On time reversal-based signal enhancement for active lamb wave-based damage identification", Smart Struct. Syst., 15(6), 1463-1479.   DOI
18 Williams, W.B., Michaels, T.E. and Michaels, J.E. (2016), "Characterization of guided wave velocity and attenuation in anisotropic materials from wavefield measurements", 42nd annual review of progress in quantitative nondestructiveevaluation: Incorporating the 6th European-American Workshop on Reliability of NDE.
19 Zhao, X., Gao, H., Zhang, G., Ayhan, B., Yan, F., Kwan, C. and Rose, J.L. (2007), "Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring", Smart Mater. Struct., 16(4), 1208.   DOI
20 Chen, H., Yan, Y., Chen, W., Jiang, J., Yu, L. and Wu, Z. (2007), "Early damage detection in composite wingbox structures using Hilbert-Huang transform and genetic algorithm", Struct. Health Monit., 6(4), 281-297.   DOI
21 Dai, D. and He, Q. (2014), "Structure damage localization with ultrasonic guided waves based on a time-frequency method", Signal Process., 96, 21-28.   DOI
22 de la Hermosa Gonzalez, R.R., Marquez, F.P.G. and Dimlaye, V. (2015), "Maintenance management of wind turbines structures via MFCs and wavelet transforms", Renew. Sust. Energ. Rev., 48, 472-482.   DOI
23 Gomez Munoz, C., De la Hermosa Gonzalez-Carrato, R., Trapero Arenas, J. and Garcia Marquez, F. (2014), "A novel approach to fault detection and diagnosis on wind turbines", Global Nest J., 16(6), 1029-1037.   DOI
24 Dong, Y., Shi, H., Luo, J., Fan, G. and Zhang, C. (2010), "Application of wavelet transform in MCG-signal denoising", Modern Appl. Sci., 4(6), 20.
25 Garcia, F.P., Pedregal, D.J. and Roberts, C. (2010), "Time series methods applied to failure prediction and detection", Reliab. Eng. Syst. Saf., 95(6), 698-703.   DOI
26 Garcia Marquez, F.P. and Garcia-Pardo, I.P. (2010), "Principal component analysis applied to filtered signals for maintenance management", Qual. Reliab. Eng. Int., 26(6), 523-527.   DOI
27 Gomez Munoz, C.Q. and Garcia Marquez, F.P. (2016), "A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines", Energies. 9(1), 40.   DOI
28 Kadzinski, M., Tervonen, T. and Figueira, J.R. (2015), "Robust multi-criteria sorting with the outranking preference model and characteristic profiles", Omega, 55 126-140.   DOI
29 Kim, S., Torbol, M. and Chou, P.H. (2013), "Remote structural health monitoring systems for next generation SCADA", Smart Struct. Syst., 11(5), 511-531.   DOI