Results 21 to 30 of about 7,485,527 (252)

Segmented Embedded Rapid Defect Detection Method for Bearing Surface Defects

Machines, 2021
The rapid development of machine vision has prompted the continuous emergence of new detection systems and algorithms in surface defect detection. However, most of the existing methods establish their systems with few comparisons and verifications, and ...
Linjian Lei, Shengli Sun, Yue Zhang, Huikai Liu, Hui Xie   +4 more
doaj   +1 more source

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

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2023
Bearing surface quality has significant impact on the working performance and durability of the mechanical transmission equipment. The traditional visual detection methods for bearing surface defects face the problems of weak versatility, low efficiency ...
Dan LIANG, Ding Cai WANG, Jia Le CHU, Kai HU, Yong Long XI   +4 more
doaj   +1 more source

Surface defect detection method for electronic panels based on attention mechanism and dual detection heads.

PLoS ONE, 2023
Automatic detection of surface defects in electronic panels is receiving increasing attention in the quality control of products. The surface defect detection of electronic panels is different from other target detection scenarios and is a meaningful and
Le Wang, Xixia Huang, Zhangjing Zheng
doaj   +1 more source

Self-Supervised Railway Surface Defect Detection with Defect Removal Variational Autoencoders

Energies, 2022
In railway surface defect detection applications, supervised deep learning methods suffer from the problems of insufficient defect samples and an imbalance between positive and negative samples.
Yongzhi Min, Yaxing Li
doaj   +1 more source

Detection of cracks in metal sheets using pulsed laser generated ultrasound and EMAT detection [PDF]

, 2011
A pulsed Nd: YAG laser with an approximately Gaussian beam shape is directed onto the surface of an aluminium sheet at an energy density below which damage by laser ablation occurs, generating Lamb waves in the sheet.
Dixon, S., Burrows, S. E. (Susan E.), Dutton, B. (Ben), Fan, Yichao   +3 more
core   +1 more source

Steel surface defect detection based on self-supervised contrastive representation learning with matching metric

, 2023
Defect detection is crucial in the quality control of industrial applications. Existing supervised methods are heavily reliant on the large amounts of labeled data.
Hussain, Amir, Amir Hussain, Mandar Gogate, Dashtipour, Kia, Xuejin Hu, Fengling Jiang, Jiang, Fengling, Gogate, Mandar, Jing Yang, Yang, Jing, Kia Dashtipour, Hu, Xuejin   +11 more
core   +1 more source

FS-RSDD: Few-Shot Rail Surface Defect Detection with Prototype Learning

Sensors, 2023
As an important component of the railway system, the surface damage that occurs on the rails due to daily operations can pose significant safety hazards.
Yongzhi Min, Ziwei Wang, Yang Liu, Zheng Wang   +3 more
doaj   +1 more source

Adaptive noise cancelling and time–frequency techniques for rail surface defect detection [PDF]

, 2015
Adaptive noise cancelling (ANC) is a technique which is very effective to remove additive noises from the contaminated signals. It has been widely used in the fields of telecommunication, radar and sonar signal processing.
Liang, B., Young, Andrew E, Ball, Andrew, Liang, Bo, A. Ball, Young, A. E., Young, A.E., A.E. Young, Ball, A., S. Iwnicki, Iwnicki, S., B. Liang   +11 more
core   +1 more source

Surface-Defect-Involved and Eye-Visible Electrochemiluminescence of Unary Copper Nanoclusters for Immunoassay

, 2023
A single-stabilizer-capped strategy is proposed for achieving highly efficient and surface-defect-involved electrochemiluminescence (ECL) from unary copper nanoclusters (NCs) via employing l-cysteine (Cys) as a capping agent of luminophore.
Xiaoxuan Ren (14610224), Dongyang Wang (134365), Bin Zhang (64682), Guizheng Zou (1412527), Xuwen Gao (375540)   +4 more
core   +1 more source

Ultrasonic Rayleigh wave enhancements from angled defects in aluminium [PDF]

, 2011
Non-linear enhancements of ultrasonic surface wave amplitude and frequency have been observed when an incident wave interacts with a surface defect.
Edwards, R. S. (Rachel S.), Donald O. Thompson, A. R. Clough, Dale E. Chimenti, B. Dutton, Clough, A. R., Dutton, B. (Ben), R. S. Edwards   +7 more
core   +1 more source