In these years, a lot of numerical analyses based on elastic wave propagation theory have been carried out in the field of non-destructive evaluation, and responses under various conditions have been accumulated as analytical solutions. By using these results of analysis as a knowledge base, accurate informations about cracks, such as types, sizes, shapes, locations and directions, is expected to be obtained
Ultrasonic waveforms reflected by various kinds of defects were calculated by numerical analysis bas...
Sensibility analysis of experimentally measured frequencies as a criterion for crack detection has b...
Stress corrosion cracks (SCC) in low-pressure steam turbine discs are serious hidden dangers to prod...
Ultrasonic inspection of riveted joints carried out by human operator is cumbersome and time consumi...
A neural network with an analog output is presented for crack-depth estimation from ultrasonic signa...
Abstract: A neural network approach for solving an inverse problem of identification of crack width ...
An inverse analysis based on the artificial neural network technique is introduced for effective ide...
A neural network with an analog output is presented to determine the angle of inclination of a surfa...
Summarization: In this paper, crack and hole identification problems are studied. From the knowledge...
Machine learning for nondestructive evaluation (NDE) has the potential to bring significant improvem...
Automatic crack inspection techniques that limit the necessity of human have the potential to lower ...
Aerospace systems are expected to remain in service well beyond their designed life. Consequently, m...
Copyright © 2013 Zachary Kral et al. This is an open access article distributed under the Creative C...
Applicability of artificial neural networks is examined in determining the natural frequencies of in...
This thesis investigates the use of artificial neural networks (ANNs) as a means of processing signa...
Ultrasonic waveforms reflected by various kinds of defects were calculated by numerical analysis bas...
Sensibility analysis of experimentally measured frequencies as a criterion for crack detection has b...
Stress corrosion cracks (SCC) in low-pressure steam turbine discs are serious hidden dangers to prod...
Ultrasonic inspection of riveted joints carried out by human operator is cumbersome and time consumi...
A neural network with an analog output is presented for crack-depth estimation from ultrasonic signa...
Abstract: A neural network approach for solving an inverse problem of identification of crack width ...
An inverse analysis based on the artificial neural network technique is introduced for effective ide...
A neural network with an analog output is presented to determine the angle of inclination of a surfa...
Summarization: In this paper, crack and hole identification problems are studied. From the knowledge...
Machine learning for nondestructive evaluation (NDE) has the potential to bring significant improvem...
Automatic crack inspection techniques that limit the necessity of human have the potential to lower ...
Aerospace systems are expected to remain in service well beyond their designed life. Consequently, m...
Copyright © 2013 Zachary Kral et al. This is an open access article distributed under the Creative C...
Applicability of artificial neural networks is examined in determining the natural frequencies of in...
This thesis investigates the use of artificial neural networks (ANNs) as a means of processing signa...
Ultrasonic waveforms reflected by various kinds of defects were calculated by numerical analysis bas...
Sensibility analysis of experimentally measured frequencies as a criterion for crack detection has b...
Stress corrosion cracks (SCC) in low-pressure steam turbine discs are serious hidden dangers to prod...