چکیده مقاله
Welding of oil and gas pipeline is of great importance and contributes significantly to the safety of natural gas transportation Currently, radiographic examination with film and detectors is used for the quality inspection of welds However, inspection methods for automatic detection with high accuracy for different sizes and types of weld defects face difficulties To address this challenge, this research presents an intelligent method for defect detection based on a deep learning approach First, a contrast enhancement method is applied to a set of radiographic images processed based on the Gaussian filter algorithm and background removal method Then, a YOLO v11 network architecture is developed from these enhanced radiographs to learn the feature distribution of several common defects This model uses multi scale feature fusion methods to effectively identify different sizes and types of defects The results obtained from the network trained on a set of radiograph images show that using YOLO v11 with processed images based on the Gaussian filter algorithm and background removal method compared to using YOLO v11 on unprocessed radiographic images achieves a 20% improvement in automatic weld defect detection and can effectively improve inspection efficiency and promote the development of automatic X ray detection
کلیدواژهها
نویسندگان
Amir Movafeghi
Scientific member, Reactor Research Institute, Nuclear Science and Technology Research Institute, Tehran, Iran
Ali Mortezaee
MSC student, Islamic Azad university, Qazvin branch
Effat Yahaghi
Scientific member, Department of Physics, Imam Khomeini International University, Qazvin, Iran
Amir-Ahmad Shojaii
Atomic Energy Organization of Iran, Tehran, Iran
Ali Keshavarz Nasab
Ph D student, Shahid Rajaei University, Tehran, Iran
شیوه ارجاع
Movafeghi, Amir and Mortezaee, Ali and Yahaghi, Effat and Shojaii, Amir-Ahmad and Keshavarz Nasab, Ali,1404,Automatic weld defect detection of pipes with YOLO v11 and preprocessing with Gaussian filter and background removal Method,8th International Conference on Welding and Non Destructive Testing & 26th National Conference on Welding & Inspection & 15th National Conference on NDT & 4th National Conference on Additive Manufacturing,Tehran
ارائهشده در
مجموعه مقالات هشتمین کنفرانس بین المللی جوشکاری و آزمایش های غیرمخرب، بیست و ششمین کنفرانس ملی جوش و بازرسی، پانزدهمین کنفرانس ملی آزمایش های غیرمخرب و چهارمین کنفرانس ملی ساخت افزایشی20 بهمن 1404 · تهران