Unsupervised weld defect classification in radiographic images using multivariate generalized Gaussian mixture model with exact computation of mean and shape …
In industry, the welding inspection is considered as a mandatory stage in the process of
quality assurance/quality control. This inspection should satisfy the requirements of the …
quality assurance/quality control. This inspection should satisfy the requirements of the …
Automatic welding defect detection of x-ray images by using cascade adaboost with penalty term
F Duan, S Yin, P Song, W Zhang, C Zhu… - IEEE Access, 2019 - ieeexplore.ieee.org
Welding defect constitute a great danger to the safe usage of petroleum pipelines. In
addition, manual welding defect detection has numerous deficiencies, such as subjectivity …
addition, manual welding defect detection has numerous deficiencies, such as subjectivity …
Towards a real-time oil palm fruit maturity system using supervised classifiers based on feature analysis
Remote sensing sensors-based image processing techniques have been widely applied in
non-destructive quality inspection systems of agricultural crops. Image processing and …
non-destructive quality inspection systems of agricultural crops. Image processing and …
Biometrics verification modality using multi-channel sEMG wearable bracelet
Electrical biosignals have the potential for use as biometric authenticators, owing to their
ability to facilitate liveness detection and concealed nature. In this work, the viability of using …
ability to facilitate liveness detection and concealed nature. In this work, the viability of using …
Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals
J Heger, MZ El Abdine - IFAC-PapersOnLine, 2019 - Elsevier
A problem during manufacturing of body parts in the automobile industry is the frequent
occurrence of surface cracks in sheet metal cold forming processes. In this paper, we …
occurrence of surface cracks in sheet metal cold forming processes. In this paper, we …
Comprehensive Computational Framework for Intelligent Steel Surface Defect Management and Prediction: A Synergy of Front end Interactivity, Back-end Robustness …
J Fei, F Ren, L Xu, BT Doma, H Li - IEEE Access, 2024 - ieeexplore.ieee.org
This research, positioned at the forefront of industrial intelligence, proposes and implements
an innovative intelligent ecosystem for steel surface defect management and prediction …
an innovative intelligent ecosystem for steel surface defect management and prediction …
An industrial inspection approach for weld defects using machine learning algorithm
V Kalai Selvi, D John Aravindar - Int. J. Adv. Sig. Img. Sci, 2019 - xlescience.org
The weld defects are formed due to the incorrect welding patterns or wrong welding process.
The defects in the weld may vary from size, shape and their projected quality. The most …
The defects in the weld may vary from size, shape and their projected quality. The most …
Detection of Defects in Welded Butt Joints Based on Laser Scanning: Neural Networks Approach
The work is devoted to the detecting of defects in welded butt joints based on the data from
the computer vision system (iRVision 3DL) installed on a Fanuc welding robot. The main …
the computer vision system (iRVision 3DL) installed on a Fanuc welding robot. The main …
An efficient weld image classification system using wavelet and support vector machine
V Kalaiselvi, DJ Aravindhar - 2019 3rd International …, 2019 - ieeexplore.ieee.org
A weld defect is a flaw occurs during the weldment. These defects are unavoidable during
welding process. In this paper, an efficient weld image classification system for the …
welding process. In this paper, an efficient weld image classification system for the …
Creating subsurface defect specimens for deep learning analyzing of radiographic weld testing
N Panya, S Tanachutiwat - 2019 Research, Invention, and …, 2019 - ieeexplore.ieee.org
The purpose of this work is to create more defective specimen for development of deep
learning model for non-destructive inspection of welding materials of the workpiece by …
learning model for non-destructive inspection of welding materials of the workpiece by …