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Advanced Pattern Recognition Techniques for Fast and Reliable E-nose Response Analysis in NDTs Scenarios

机译:无损检测场景中快速,可靠的电子鼻响应分析的高级模式识别技术

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摘要

Non Destructive Tests (NDT) technologies have strong requirements in terms of fast response and reliability, these constraints are particularly stressed in aerospace industry, for safety and efficiency reasons. Composite panels bonding, essential to green aircraft concept, is still lacking a validated NDT technique that can guarantee the bond quality. E-noses appear to be a promising choice but they have to be adapted to the surface analysis task, furthermore they may require a significant amount of time to acquire a complete response pattern slowing the testing of large panels. In this paper, we present the results obtained by combining real time classifiers response on an adapted e-nose platform to obtain a rapid response while keeping the possibility to maximize accuracy awaiting for the end of the measurement cycle. A reject option is casted on the base of combined perceived reliability to nullify high safety costs false negatives while keeping low the false positive rate.
机译:无损检测(NDT)技术在快速响应和可靠性方面有严格的要求,出于安全和效率的考虑,这些约束在航空航天工业中尤为突出。复合材料面板粘合对于绿色飞机概念至关重要,但仍缺乏可确保粘合质量的经过验证的无损检测技术。电子鼻似乎是一个有前途的选择,但必须适应表面分析任务,此外,它们可能需要大量时间才能获得完整的响应模式,从而减慢了大型面板的测试速度。在本文中,我们介绍了通过在自适应电子鼻平台上组合实时分类器响应以获得快速响应而获得的结果,同时保持了等待测量周期结束时最大程度地提高准确性的可能性。在综合感知的可靠性的基础上,选择拒绝选项,以消除高安全成本的误报率,同时保持较低的误报率。

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