期刊
NDT & E INTERNATIONAL
卷 71, 期 -, 页码 54-60出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ndteint.2015.01.003
关键词
Data fusion; Concrete evaluation; Honeycombing
资金
- Indio German Science and Technology Centre (IGSTC) through DLR (German Aerospace Center) [01DQ12088A]
We present a systematic approach for fusion of multi-sensory nondestructive testing data. Our data set consists of impact-echo, ultrasonic pulse echo and ground penetrating radar data collected on a large-scale concrete specimen with built-in honeycombing defects. From each data set, the most significant signatures of honeycombs were extracted in the form of features. We applied two simple data fusion algorithms to the data: Dempster's rule of combination and the Hadamard product. The performance of the fusion rules versus the single-sensor testing was evaluated. The fusion rules exhibit a slight improvement of false alarm rate over the best single sensor. (C) 2015 Elsevier Ltd. All rights reserved.
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