journal article·2022-10

Ultrasonic Lamb wave mixing based fatigue crack detection using a deep learning model and higher-order spectral analysis

Santhakumar Sampath, Jinho Jang, Hoon Sohn

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OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Structural Health Monitoring Techniques · Non-Destructive Testing Techniques

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References (68)

Show source-provided references
1. Evaluation of material degradation using phased array ultrasonic technique with full matrix capture10.1016/j.engfailanal.2020.105118 ↗
2. Fatigue crack initiation behaviors around defects induced by welding thermal cycle in superalloy IN617B10.1016/j.ijfatigue.2022.106745 ↗
3. Nonlinear ultrasonic guided waves—Principles for nondestructive evaluation10.1063/5.0038340 ↗
4. Nonlinear ultrasonic modulation based failure warning for aluminum plates subject to fatigue loading10.1016/j.ijfatigue.2018.05.014 ↗
5. A review of fatigue damage detection and measurement techniques10.1016/j.ijfatigue.2021.106556 ↗
6. Quantification of fatigue damage accumulation using non-linear ultrasound measurements10.1016/j.ijfatigue.2007.01.026 ↗
7. Numerical and experimental investigation of nonlinear lamb wave mixing at low frequency10.1061/(ASCE)AS.1943-5525.0001146 ↗
8. Nonlinear guided wave mixing for localized material state characterization10.1016/j.phpro.2015.08.074 ↗
9. Nonlinear Lamb wave-mixing technique for micro-crack detection in plates10.1016/j.ndteint.2016.10.006 ↗
10. Nonlinear Lamb wave mixing for assessing localized deformation during creep10.1016/j.ndteint.2018.04.013 ↗
11. Impact damage detection in composites using a guided wave mixing technique
12. Ultrasonic linear and nonlinear behavior of fatigued Ti–6Al–4V10.1557/JMR.1999.0176 ↗
13. Micro-crack detection of nonlinear Lamb wave propagation in three-dimensional plates with mixed-frequency excitationyg10.1088/1674-1056/ab5931 ↗
14. Fatigue crack detection by nonlinear spectral correlation with a wideband input
15. Surface crack characterization using laser nonlinear ultrasonics based on the bispectrum
16. New nonlinear ultrasonic method for material characterization: Codirectional shear horizontal guided wave mixing in plate10.1016/j.ultras.2019.04.001 ↗
17. Experimental and numerical study of nonlinear Lamb waves of a low-frequency S0 mode in plates with quadratic nonlinearity10.3390/ma11112096 ↗
18. Mixed third harmonic shear horizontal wave generation: interaction between primary shear horizontal wave and second harmonic Lamb wave10.1088/1361-665X/ab1fce ↗
19. Detection and localization of fatigue crack using nonlinear ultrasonic three-wave mixing technique10.1016/j.ijfatigue.2021.106582 ↗
20. Relationship between second-and third-order acoustic nonlinear parameters in relative measurement10.1016/j.ultras.2014.10.009 ↗
21. A fault frequency bands location method based on improved fast spectral correlation to extract fault features in axial piston pump bearings10.1016/j.measurement.2020.108734 ↗
22. Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears10.1006/mssp.1999.1294 ↗
23. Baseline-free fatigue crack detection based on spectral correlation and nonlinear wave modulation10.1088/0964-1726/25/12/125034 ↗
24. An enhanced modulation signal bispectrum analysis for bearing fault detection based on non-Gaussian noise suppression10.1016/j.measurement.2019.107240 ↗
25. Evaluation of the intergranular corrosion in austenitic stainless steel using collinear wave mixing method10.1016/j.ndteint.2014.09.001 ↗
26. Factors affecting the ultrasonic intermodulation crack detection technique using bispectral analysis10.1016/j.ndteint.2007.09.004 ↗
27. A deep learning-based approach for refined crack evaluation from shield tunnel lining images10.1016/j.autcon.2021.103934 ↗
28. Machine vision-based surface crack analysis for transportation infrastructure10.1016/j.autcon.2021.103973 ↗
29. Deep convolution neural network-based transfer learning method for civil infrastructure crack detection10.1016/j.autcon.2020.103199 ↗
30. Digital measurement of 2D and 3D cracks in sandstones through improved pseudo color image enhancement and 3D reconstruction method10.1002/nag.2993 ↗
31. Digital spatial cracking behaviors of fine-grained sandstone with precracks under uniaxial compression10.1002/nag.3088 ↗
32. A spatial-channel hierarchical deep learning network for pixel-level automated crack detection10.1016/j.autcon.2020.103357 ↗
33. Increasing the robustness of material-specific deep learning models for crack detection across different materials10.1016/j.engstruct.2019.110157 ↗
34. Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm10.1016/j.conbuildmat.2020.121949 ↗
35. Sim-to-Real: Employing ultrasonic guided wave digital surrogates and transfer learning for damage visualization10.1016/j.ultras.2020.106338 ↗
36. Multivariate LSTM-FCNs for time series classification10.1016/j.neunet.2019.04.014 ↗
37. A data-driven structural damage detection framework based on parallel convolutional neural network and bidirectional gated recurrent unit10.1016/j.ins.2021.02.064 ↗
38. Detecting the early damages in structures with nonlinear output frequency response functions and the CNN-LSTM model10.1109/TIM.2020.3005113 ↗
39. Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades10.1016/j.renene.2021.04.025 ↗
40. Higher order spectral regression discriminant analysis (HOSRDA): A tensor feature reduction method for ERP detection10.1016/j.patcog.2017.05.004 ↗
41. Combined bispectrum and trispectrum for faults diagnosis in rotating machines
42. Spectral analysis of block structured nonlinear systems and higher order sinusoidal input describing functions10.1016/j.automatica.2011.08.049 ↗
43. Bearing fault diagnosis method based on local mean decomposition and Wigner higher moment spectrum10.1007/s40799-016-0138-1 ↗
44. Smart communication using tri-spectral sign recognition for hearing-impaired people10.1007/s11227-021-03968-1 ↗
45. Applying High Order Statistics Analysis at Non Destructive Evaluation of Concrete Tiles
46. Sampath · 2021
47. Cumulative second-harmonic generation of Lamb-mode propagation in a solid plate10.1063/1.369642 ↗
48. Baseline-free estimation of residual fatigue life using a third order acoustic nonlinear parameter10.1121/1.3621714 ↗
49. Cubic nonlinearity parameter measurement and material degradation detection using nonlinear ultrasonic three-wave mixing10.1016/j.ultras.2021.106670 ↗
50. Sampath S, Sohn H. Detection of material nonlinearity using nonlinear ultrasonic three-wave mixing technique. In: Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV, International Society for Optics and Photonics; 2021, pp. 1159214.10.1117/12.2581415 ↗
51. Higher-order spectra: the bispectrum and trispectrum10.1006/mssp.1997.0145 ↗
52. Nonlinear spectral correlation for fatigue crack detection under noisy environments10.1016/j.jsv.2017.04.021 ↗
53. LSTM networks based on attention ordered neurons for gear remaining life prediction10.1016/j.isatra.2020.06.023 ↗
54. A novel method of multiaxial fatigue life prediction based on deep learning10.1016/j.ijfatigue.2021.106356 ↗
55. On the difficulty of training recurrent neural networks
56. Remaining useful life prediction techniques for electric valves based on convolution auto encoder and long short term memory10.1016/j.isatra.2020.08.031 ↗
57. A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network10.1016/j.isatra.2019.11.010 ↗
58. HOS analysis of measured vibration data on rotating machines with different simulated faults
59. Characterization of a 3DOF aeroelastic system with freeplay and aerodynamic nonlinearities–Part I: Higher-order spectra10.1016/j.ymssp.2018.05.053 ↗
60. Higher order spectra for crack and misalignment identification in the shaft of a rotating machine10.1177/1475921707082309 ↗
61. Identification of freeplay and aerodynamic nonlinearities in a 2D aerofoil system with via higher-order spectra, The10.1017/aer.2017.88 ↗
62. I.O.f. Standardization, Metallic Materials: Fatigue Testing: Fatigue Crack Growth Method. ISO 12108, ISO; 2002.
63. Unsupervised pre-training of a Deep LStM-based Stacked Autoencoder for Multivariate time Series forecasting problems10.1038/s41598-019-55320-6 ↗
64. Kingma DP, Ba J. Adam: A method for stochastic optimization, arXiv preprint arXiv:1412.6980; (2014).
65. A multi-fidelity modelling approach to the statistical inference of the equivalent initial flaw size distribution for multiple-site damage10.1016/j.ijfatigue.2018.11.010 ↗
66. Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption
67. A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing10.1016/j.isatra.2021.03.045 ↗
68. Short-term wind speed forecasting using recurrent neural networks with error correction10.1016/j.energy.2020.119397 ↗