A CWT-based method to calculate transmission coefficients of different Lamb waves using individual LEU signals. A neural network was trained to accurately predict WPDs based on the transmission coefficients of selected Lamb waves and the LEU signal energy. The method is capable of inspecting WPDs quickly along welds in thin structures.Georgia Tech Research Corporatio
This paper presents a study on the weld quality obtained by different values of the input parameters...
Abstract:- In regression neural networks for pattern recognition of preprocessed guided waves signal...
The analysis of acoustic emissions for machine health monitoring has made rapid advances in the last...
A system and method for measuring various weld characteristics is presented. The system and method c...
Using laser/EMAT ultrasonic technique to inspect penetration depths of welds in thin structures is l...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
A method has been proposed for welding penetration status prediction in the paper. First, an experim...
This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed ...
Structural health monitoring has been widely employed in several engineering fields as support tool ...
In the present study, the development of an acoustic emission technique (AET) based methodology is r...
This paper presents a study on the weld quality obtained by different values of the input parameters...
Abstract:- In regression neural networks for pattern recognition of preprocessed guided waves signal...
The analysis of acoustic emissions for machine health monitoring has made rapid advances in the last...
A system and method for measuring various weld characteristics is presented. The system and method c...
Using laser/EMAT ultrasonic technique to inspect penetration depths of welds in thin structures is l...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
This paper presents a deep learning network that performs automatic detection of defects by inspecti...
A method has been proposed for welding penetration status prediction in the paper. First, an experim...
This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed ...
Structural health monitoring has been widely employed in several engineering fields as support tool ...
In the present study, the development of an acoustic emission technique (AET) based methodology is r...
This paper presents a study on the weld quality obtained by different values of the input parameters...
Abstract:- In regression neural networks for pattern recognition of preprocessed guided waves signal...
The analysis of acoustic emissions for machine health monitoring has made rapid advances in the last...