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Multi-Frequency Eddy Current Nondestructive Evaluation of Aerospace Structures

机译:航空结构的多频涡流无损评估

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Aging aircraft structures are prone to corrosion, which weaken the damage tolerance capability and accelerate the growth of cracks within the structures. To investigate these cracks and to validate repairs, corrosion quantification techniques are considered important. The objective of this research is to perform multi frequency eddy current aerospace nondestructive evaluation (NDE) on aerospace structures to determine their structural integrity. Damage detection and computation of flaw dimensions based on multi frequency eddy testing is a typical Nondestructive Testing (NDT) inverse problem. Advanced adaptive thresholding algorithm is developed to process the actual NDT data acquired from NDT facilities of Pakistan International Airlines (PIA). Eddy Testing data acquired at different frequencies contain complementary information. Therefore, modern data fusion technique is incorporated in diagnostic algorithms to improve the accuracy of the solution. The proposed fusion algorithm reduces the number false calls and results in relatively small number of regions that need to be analyzed by the classification algorithm. The major conclusion of the project is improvement in aerospace NDT infrastructure in Pakistan. In-house knowledge would also facilitate the decision makers to decide flight worthiness of the air crafts in short period of time.
机译:老化飞机结构容易腐蚀,这削弱了损坏的耐受性,并加速了结构内的裂缝的生长。为了研究这些裂缝并验证维修,腐蚀量化技术被认为是重要的。本研究的目的是在航空航天结构上进行多频涡流航空航天无损评估(NDE)以确定其结构完整性。基于多频涡体测试的缺陷尺寸损伤检测和计算是典型的非破坏性测试(NDT)逆问题。开发了先进的自适应阈值算法,以处理从巴基斯坦国际航空公司(PIA)的NDT设施中获取的实际NDT数据。在不同频率上获取的EDDY测试数据包含互补信息。因此,现代数据融合技术纳入诊断算法中以提高解决方案的准确性。所提出的融合算法减少了数字错误呼叫,并导致分类算法需要分析的相对少量的区域。该项目的主要结论是在巴基斯坦航空航天利润基础设施的改进。内部知识也将促进决策者在短时间内决定空气工艺品的价值。

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