This paper proposes backpropagation neural network models which are based on artificial intelligence technology to detect the defect signals and to discern the measurements of defects according to the eddy current testing (ECT) results even under the probe lift-off and probe wobble noise effects. In this paper, a stainless plate with three different depth slits is tested by ECT to collect defect signals. And during the scanning process, the noise which is mentioned above is added. All the collected data are...
英字タイトル:
Detection and sizing of defects in eddy current testing using artificial neural network

This paper proposes a neural network to achieve automated data analysis target. A neural network, which is commonly used as an artificial intelligence technology, possesses excellent feature recognition and logistic regression ability, which are very important to implement automated data analysis. In this paper, the principle and characteristics of the neural network are presented. A neural network is established to discern the depth and length of slits automatically, and it is verified whether the ANN can ...
英字タイトル:
Feasibility study of neural network technology applied to advanced eddy current testing -Depth and length sizing of defects using neural networks-

This paper proposed the evaluation of rebar corrosion in reinforced concrete by an electromagnetic pulse-induced acoustic testing method. A strong pulsed electromagnetic force is applied to the specimen, and the rebars will generate the elastic waves. The difference in the bonding force between the rebars and concrete depending on rust is evaluated based on the intensity and waveform variation of elastic waves. In this study, the rusted and un- rusted rebar specimens are prepared, and the AE sensor is place...
英字タイトル:
Evaluation of Rebar Corrosion in Reinforced Concrete using Electromagnetic Pulse-induced Acoustic Testing Method