Application of Machine Learning in Terahertz-Based Nondestructive Testing of Thermal Barrier Coatings with High-Temperature Growth Stresses

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Pubblicato in:	Coatings vol. 15, no. 1 (2025), p. 49
Autore principale:	Zhou, Xu
Altri autori:	Ye, Dongdong, Yin, Changdong, Wu, Yiwen, Chen, Suqin, Ge, Xin, Wang, Peiyong, Huang, Xinchun, Liu, Qiang
Pubblicazione:	MDPI AG
Soggetti:	Measurement methods Aircraft accidents & safety Accuracy Nondestructive testing Simulation models Finite difference method Optimization Signal processing Airplane engines Thermal insulation Aviation White noise Time domain analysis Data processing Noise levels Thermal barrier coatings Machine learning Stress concentration Wavelet transforms High temperature Stress distribution Efficiency Corrosion Stress state Oxide coatings Temperature Numerical models Thermal barriers Noise reduction Algorithms Service life assessment Thermal simulation Kernel functions Heat resistance Embedding Thickness
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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