Early Fatigue Crack Damage Identification by Multi-classification Support-Vector Machine Based on Lamb Wave and Temperature Compensation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11665-022-06925-y.pdf
Reference35 articles.
1. W. Yang and P. Gao, Lamb Wave-Minimum Sampling Variance Particle Filter-Based Fatigue Crack Prognosis, Sensors, 2019, 19, p 1070.
2. S. Yuan, J. Chen, W. Yang et al., On-Line Crack Prognosis in Attachment Lug Using Lamb Wave-Deterministic Resampling Particle Filter-Based Method, Smart Mater. Struct., 2017, 26, 085016.
3. J. Chen, S. Yuan, L. Qiu et al., Research on a Lamb Wave and Particle Filter-Based on-Line Crack Propagation Prognosis Method, Sensors, 2016, 16, p 320.
4. J. He, Y. Ran, B. Liu et al., A Fatigue Crack Size Evaluation Method Based on Lamb Wave Simulation and Limited Experimental Data, Sensors, 2017, 17, p 2097.
5. D. Wang, J. He, X. Guan et al., A Model Assessment Method for Predicting Structural Fatigue Life Using Lamb Waves, Ultrasonics, 2018, 84, p 319-328.
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