Performance Analysis of Weld Image Classification Using Modified Resnet CNN Architecture

Mohanasundari L, Et Al

doi:10.17762/turcomat.v12i2.1943

Abstract

The detection and classifications of weld images is important for improving the quality of the joined materials during production period. In order to automate the classification of weld images in industry, this paper proposes an effective automatic method for the detection and classifications of the weld images into four different cases using deep learning methods. In this work, Convolutional Neural Network (CNN) is adopted for the weld image classification by modifying the internal architecture of the CNN architecture. This proposed ResNet CNN architecture is designed with three Convolutional layers, two numbers of pooling layers with activation layer and two numbers of Fully Connected Neural Networks (FCNN).The FCNN in proposed CNN architecture is designed with 15 internal hidden layers and each hidden layer is designed with 20 neurons which obtains high classification efficiency. The morphological activity functional methods are used on the classified weld images to detect the crack regions.

Highlights

The welding is the important process for manufacturing the different kind of materials
In order to automate the classification of weld images in industry, this paper proposes an effective automatic method for the detection and classifications of the weld images into four different cases using deep learning methods
Convolutional Neural Network (CNN) is adopted for the weld image classification by modifying the internal architecture of the CNN architecture. This proposed ResNet CNN architecture is designed with three Convolutional layers, two numbers of pooling layers with activation layer and two numbers of Fully Connected Neural Networks (FCNN).The FCNN in proposed CNN architecture is designed with 15 internal hidden layers and each hidden layer is designed with 20 neurons which obtains high classification efficiency

Summary

Introduction

The welding is the important process for manufacturing the different kind of materials. Though there are numerous types of welding available, four types of welds are frequently seen in many materials. They are Good weld case, Excess weld case, No weld case and Undercut weld case. In case of Good weld, the welding regions on the joined materials are very perfect and the weld is lasting for several years. In case of Excess weld, the welding portion is exceeding on both joined materials This type of weld is not perfect and not suitable for non-robust materials.

Literature survey

Proposed methodologies

Results and Discussions

Conclusions