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Thermal Inspection of a Composite Fuselage Section using a Fixed Eigenvector Principal Component Analysis Method

机译:使用固定特征向量主成分分析方法的复合机身截面热检查

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A composite fuselage aircraft forward section was inspected with flash thermography. The fuselage section is 24 feet long and approximately 8 feet in diameter. The structure is primarily configured with a composite sandwich structure of carbon fiber face sheets with a Nomex~® honeycomb core. The outer surface area was inspected. The thermal data consisted of 477 data sets totaling in size of over 227 Gigabytes. Principal component analysis (PCA) was used to process the data sets for substructure and defect detection. A fixed eigenvector approach using a global covariance matrix was used and compared to a varying eigenvector approach. The fixed eigenvector approach was demonstrated to be a practical analysis method for the detection and interpretation of various defects such as paint thickness variation, possible water intrusion damage, and delamination damage. In addition, inspection considerations are discussed including coordinate system layout, manipulation of the fuselage section, and the manual scanning technique used for full coverage.
机译:用闪光热像仪检查了复合机身飞机的前部。机身部分长24英尺,直径约8英尺。该结构主要由碳纤维面板的复合夹心结构和Nomex®蜂窝状芯构成。检查外表面积。热数据由477个数据集组成,总大小超过227 GB。主成分分析(PCA)用于处理用于子结构和缺陷检测的数据集。使用了使用全局协方差矩阵的固定特征向量方法,并将其与变化的特征向量方法进行了比较。事实证明,固定特征向量法是一种实用的分析方法,可用于检测和解释各种缺陷,例如油漆厚度变化,可能的水浸破坏和分层破坏。此外,还讨论了检查注意事项,包括坐标系布局,机身部分的操作以及用于全面覆盖的手动扫描技术。

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