[HTML][HTML] Deep learning-based pc member crack detection and quality inspection support technology for the precise construction of osc projects

S Lee, M Jeong, CS Cho, J Park, S Kwon - Applied Sciences, 2022 - mdpi.com
Recently, the construction industry has benefited from the increased application of smart
construction led by the core technologies of the fourth industrial revolution, such as BIM, AI …

Recognition and detection of aero-engine blade damage based on Improved Cascade Mask R-CNN

W He, C Li, X Nie, X Wei, Y Li, Y Li, S Luo - Applied optics, 2021 - opg.optica.org
Aero-engine blades are an integral part of the aero-engine, and the integrity of these blades
affects the flight performance and safety performance of an aircraft. The traditional manual …

Deep learning approach for predicting crack initiation position and size in a steam turbine blade using frequency response and model order reduction

HW Seo, JS Han - Journal of Mechanical Science and Technology, 2024 - Springer
This paper introduces a deep learning approach for accurately predicting the position and
size of cracks in steam turbine blades using frequency response function data obtained from …

Analysis of Domestic Research Trends on Artificial Intelligence-Based Prognostics and Health Management

YE Jeong, YS Kim - Journal of Korean Society for Quality Management, 2023 - jksqm.org
Purpose This study aim to identify the trends in AI-based PHM technology that can enhance
reliability and minimize costs. Furthermore, this research provides valuable guidelines for …

[HTML][HTML] Image preprocessing method in radiographic inspection for automatic detection of ship welding defects

G Yun, S Oh, S Shin - Applied Sciences, 2021 - mdpi.com
Welding defects must be inspected to verify that the welds meet the requirements of ship
welded joints, and in welding defect inspection, among nondestructive inspections …

[HTML][HTML] Optimization algorithm for surface defect detection of aircraft engine components based on YOLOv5

Y Qu, C Wang, Y **ao, J Yu, X Chen, Y Kong - Applied Sciences, 2023 - mdpi.com
The aircraft engine is a core component of an airplane, and its critical components work in
harsh environments, making it susceptible to a variety of surface defects. To achieve efficient …

Evaluating Store Image and Creating Positioning Maps Based on Deep Learning-Focused on the Interior Environments of Coffee Shop Brands

Y Han, H Lee - Journal of the Architectural Institute of Korea, 2023 - koreascience.kr
This study presents a deep learning approach to measuring a brand's store image while
generating positioning maps using social media data. Store design and architecture were …

Research on small target damage detection of aero-engine based on improved YOLOv4

CAI Shuyu, YAN Ziyan - 航空动力学报, 2023 - jasp.com.cn
Intelligent aero-engines damage detection is an important research direction in aircraft fault
diagnosis. An improved multi-scale target detection method based on You Only Look Once …

Classification of the Rusting State of Pipe Using a Laser Displacement Sensor

KM Cheon, BC Shin, GH Shin, JI Go… - Journal of the Korean …, 2022 - koreascience.kr
Although pipe performs various functions in industrial sites and residential spaces, if it is
damaged due to corrosion caused by the external environment, it may cause equipment …

[PDF][PDF] 基于改进 YOLOv4 的航空发动机小目标损伤检测研究

蔡舒妤, 闫子砚 - Journal of Aerospace Power, 2023 - jasp.com.cn
智能化的航空发动机损伤检测是飞机故障诊断重要的研究方向, 针对现有目标检测模型对航空
发动机的小目标损伤检测效果差的问题, 提出了一种改进的基于You Only Look Once version 4 …