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Electromagnetic Thermography Nondestructive Evaluation: Physics-based Modeling and Pattern Mining

机译:电磁热成像无损评估:基于物理的建模和模式挖掘

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摘要

Electromagnetic mechanism of Joule heating and thermal conduction on conductive material characterization broadens their scope for implementation in real thermography based Nondestructive testing and evaluation (NDT&E) systems by imparting sensitivity, conformability and allowing fast and imaging detection, which is necessary for efficiency. The issue of automatic material evaluation has not been fully addressed by researchers and it marks a crucial first step to analyzing the structural health of the material, which in turn sheds light on understanding the production of the defects mechanisms. In this study, we bridge the gap between the physics world and mathematical modeling world. We generate physics-mathematical modeling and mining route in the spatial-, time-, frequency-, and sparse-pattern domains. This is a significant step towards realizing the deeper insight in electromagnetic thermography (EMT) and automatic defect identification. This renders the EMT a promising candidate for the highly efficient and yet flexible NDT&E.
机译:焦耳加热和导热对导电材料特性的电磁作用机理,通过赋予灵敏度,一致性和快速的成像检测来扩大其在基于热成像的真实无损检测和评估(NDT&E)系统中的实现范围,这对于提高效率是必不可少的。研究人员尚未完全解决自动材料评估的问题,它标志着分析材料结构健康的关键的第一步,从而为了解缺陷机理的产生提供了启示。在这项研究中,我们弥合了物理世界和数学建模世界之间的鸿沟。我们在空间,时间,频率和稀疏模式域中生成物理数学建模和挖掘路线。这是迈向实现对电磁热成像(EMT)和自动缺陷识别的更深入了解的重要一步。这使EMT成为高效且灵活的NDT&E的有希望的候选人。

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