A hierarchical attention detector for bearing surface defect detection

J Ma, S Hu, J Fu, G Chen - Expert Systems with Applications, 2024 - Elsevier
Multi-scale defect detection on bearing surfaces is a challenging task due to the varying
sizes and shapes of the defects and character-induced noise backgrounds. It has been …

Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery

S Tang, J Ma, Z Yan, Y Zhu, BC Khoo - Engineering Applications of …, 2024 - Elsevier
Rotating machinery plays an essential part in many engineering fields. It needs prompt
solutions to the prognosis and health management to ensure the system reliability …

An effective MID-based visual defect detection method for specular car body surface

Y He, B Wu, J Mao, W Jiang, J Fu, S Hu - Journal of Manufacturing Systems, 2024 - Elsevier
The quality control of car body surfaces is one of the most important tasks in automotive
manufacturing, which can directly affect the appearance of cars and purchasing experience …

GRP-YOLOv5: An improved bearing defect detection algorithm based on YOLOv5

Y Zhao, B Chen, B Liu, C Yu, L Wang, S Wang - Sensors, 2023 - mdpi.com
Currently, most chemical transmission equipment relies on bearings to support rotating
shafts and to transmit power. However, bearing defects can lead to a series of failures in the …

An intelligent vision recognition method based on deep learning for pointer meters

L Chen, X Wu, C Sun, T Zou, K Meng… - … Science and Technology, 2023 - iopscience.iop.org
Nowadays, pointer instruments remain the main state monitoring devices in the power
industry, because they have strong mechanical stability to resist electromagnetic …

Non-invasive, intelligent, and continuous monitoring of human blood glucose with UWB dual-antenna and cascade CNN

Z Wang, X Xiao, Y Pang, W Su - Measurement Science and …, 2023 - iopscience.iop.org
Finger-prick blood collection process has become unrealistic for a long-term and frequent
blood glucose detection. Hence, an appropriate non-invasive detection system is highly …

Defect analysis of 3D printed object using transfer learning approaches

MM Ahsan, S Raman, Y Liu, Z Siddique - Expert Systems with Applications, 2024 - Elsevier
Additive manufacturing (AM) is rapidly gaining traction across diverse industries, including
healthcare, aerospace, and automotive, mainly due to its ability to enhance production …

Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches

MM Ahsan, S Raman, Z Siddique - arXiv preprint arXiv:2310.08645, 2023 - arxiv.org
Additive manufacturing (AM) is gaining attention across various industries like healthcare,
aerospace, and automotive. However, identifying defects early in the AM process can …

Defect detection of bearing side face based on sample data augmentation and convolutional neural network

D LIANG, DC WANG, J Le CHU, K HU… - Journal of Advanced …, 2023 - jstage.jst.go.jp
Bearing surface quality has significant impact on the working performance and durability of
the mechanical transmission equipment. The traditional visual detection methods for bearing …

A shunted-swin transformer for surface defect detection in roller bearings

X Zhou, Z Ren, Y Zhang, T Mi, S Zhou, Z Jiang - Measurement, 2024 - Elsevier
Although surface defect detection for roller bearings has received much attention in smart
industrial manufacturing, most existing approaches employed the existing Convolution or …