NDT data fusion at pixel level
NDT data fusion at pixel level
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DOI：
10.1016/s0963-8695(98)00056-5
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发表时间：
1999-07-01
影响因子：
4.2
通讯作者：
Takahashi, K
中科院分区：
文献类型：
--
作者：
Gros, XE;Bousigue, J;Takahashi, K
没有一种单一的无损检测（NDT）技术或方法能够令人满意地全面评估材料的结构完整性。事实上，每种方法在缺陷检测和表征方面都存在一些限制。此外，差的信噪比可能使信号解释复杂或不可靠。由于这些原因，NDT数据融合的概念--基于多个来源的信息的协同使用，以促进信号解释并增加缺陷检测和表征--正在迅速扩展。采用涡流和红外热成像技术对一种曾遭受低能冲击损伤的碳纤维增强复合材料进行了无损检测。在这些无损检测之后，从这两种无损检测方法收集的信息在像素级上被融合。基于统计和概率算法的几种成熟和公认的数据融合过程被用于联合收割机将涡流和红外热像数据相结合。本文介绍了这些过程所获得的结果，并讨论了它们的效率。结果表明，在某些情况下，无损检测数据融合在像素级可能足以增加有关缺陷的位置和表征的知识，并减少歧义。(C)1999 Elsevier Science Ltd.保留所有权利。
No single non-destructive testing (NDT) technique or method is satisfactory to fully assess the structural integrity of a material. Indeed, each method presents some limitations in terms of defect detection and characterisation. Additionally, poor signal to-noise ratio may make signal interpretation complex or unreliable. For these reasons, the concept of NDT data fusion - based on the synergistic use of information from multiple sources in order to facilitate signal interpretation and increase defect detection and characterisation - is expanding rapidly. A carbon fibre reinforced composite material previously subject to low energy impact damage has been non-destructively inspected using eddy current and infrared thermography. Following these non-destructive examinations, the information gathered from these two NDT methods has been fused at pixel level. Several well established and recognised data fusion processes based on statistical and probabilistic algorithms were used to combine eddy current and infrared thermographic data. The results obtained with these processes are presented in this paper and their efficiency discussed. It is shown that, in certain cases, NDT data fusion at pixel level may be adequate to increase knowledge about defect location and characterisation and to reduce ambiguity. (C) 1999 Elsevier Science Ltd. All rights reserved.