Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi sensor data fusion approach for automatic honeycomb detection in concrete
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.
Multi sensor data fusion approach for automatic honeycomb detection in concrete
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.
Multi sensor data fusion approach for automatic honeycomb detection in concrete
Völker, Christoph (Autor:in) / Shokouhi, Parisa (Autor:in)
NDT&E International ; 71 ; 54-60
2015
7 Seiten, 38 Quellen
Aufsatz (Zeitschrift)
Englisch
Clustering Based Multi Sensor Data Fusion for Honeycomb Detection in Concrete
| British Library Online Contents | 2015
Evaluation of honeycomb concrete
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| BASE | 2015