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Embry-Riddle Aeronautical University
Operations Research, Systems Engineering and Industrial Engineering
Automatic optical inspection; deep convolutional neural networks; defect detection;
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Full-Text Articles in Engineering
Deep Cnn-Based Automated Optical Inspection For Aerospace Components, Shashi Bhushan Jha
Deep Cnn-Based Automated Optical Inspection For Aerospace Components, Shashi Bhushan Jha
Doctoral Dissertations and Master's Theses
ABSTRACT
The defect detection problem is of outmost importance in high-tech industries such as aerospace manufacturing and is widely employed using automated industrial quality control systems. In the aerospace manufacturing industry, composite materials are extensively applied as structural components in civilian and military aircraft. To ensure the quality of the product and high reliability, manual inspection and traditional automatic optical inspection have been employed to identify the defects throughout production and maintenance. These inspection techniques have several limitations such as tedious, time- consuming, inconsistent, subjective, labor intensive, expensive, etc. To make the operation effective and efficient, modern automated optical inspection …