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A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0
This review is on the various techniques and methodologies applied to sensor based
monitoring of the quality and control of defects in an advanced joining process named …
monitoring of the quality and control of defects in an advanced joining process named …
Review on computer aided weld defect detection from radiography images
W Hou, D Zhang, Y Wei, J Guo, X Zhang - Applied Sciences, 2020 - mdpi.com
The weld defects inspection from radiography films is critical for assuring the serviceability
and safety of weld joints. The various limitations of human interpretation made the …
and safety of weld joints. The various limitations of human interpretation made the …
Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning
Quality control is a fundamental component of many manufacturing processes, especially
those involving casting or welding. However, manual quality control procedures are often …
those involving casting or welding. However, manual quality control procedures are often …
Automated detection of welding defects in pipelines from radiographic images DWDI
N Boaretto, TM Centeno - Ndt & E International, 2017 - Elsevier
This paper presents a method for the automatic detection and classification of defects in
radiographic images of welded joints obtained by exposure technique of double wall double …
radiographic images of welded joints obtained by exposure technique of double wall double …
Transfer learning with CNN for classification of weld defect
Traditional Image Processing Techniques (IPT), used for automating the detection and
classification of weld defects from radiography images, have their own limitations, which can …
classification of weld defects from radiography images, have their own limitations, which can …
Ultrasonic testing in the field of engineering joining
Z Fan, K Bai, C Chen - The International Journal of Advanced …, 2024 - Springer
In recent years, with the development of materials science, the joining technology is also
constantly upgraded, ultrasonic testing technology can more accurately detect the defects or …
constantly upgraded, ultrasonic testing technology can more accurately detect the defects or …
Automatic detection and classification of the ceramic tiles' surface defects
Defect detection and classification of ceramic tile surface defects occurred in firing units are
usually performed by human observations in most factories. In this paper, an automatic …
usually performed by human observations in most factories. In this paper, an automatic …
Automatic detection of welding defects using deep neural network
W Hou, Y Wei, J Guo, Y **, C Zhu - Journal of physics …, 2018 - iopscience.iop.org
In this paper, we propose an automatic detection schema including three stages for weld
defects in x-ray images. Firstly, the preprocessing procedure for the image is implemented to …
defects in x-ray images. Firstly, the preprocessing procedure for the image is implemented to …
Deep features based on a DCNN model for classifying imbalanced weld flaw types
W Hou, Y Wei, Y **, C Zhu - Measurement, 2019 - Elsevier
Feature extraction and feature selection are vital steps to construct an intelligent diagnosis
system for classifying the weld flaws from an X-ray image. Deep learning has been …
system for classifying the weld flaws from an X-ray image. Deep learning has been …
Multiclass defect detection and classification in weld radiographic images using geometric and texture features
In this paper, a method for the detection and classification of defects in weld radiographs is
presented. The method has been applied for detecting and discriminating discontinuities in …
presented. The method has been applied for detecting and discriminating discontinuities in …