Results 31 to 40 of about 7,485,527 (252)

Multi-Scale Lightweight Neural Network for Steel Surface Defect Detection

open access: yes, 2023
Defect classification is an important aspect of steel surface defect detection. Traditional approaches for steel surface defect classification employ convolutional neural networks (CNNs) to improve accuracy, typically by increasing network depth and ...
Ying Cai   +6 more
core   +1 more source

Theoretical enhancement of the Gaussian filtering of engineering surfaces [PDF]

open access: yes, 2013
This study is an extension of the current use of Gaussian filters to smooth surface texture waveforms. It suggests an extension using Hermite polynomials to improve the definition of boundary lines and edges in the geometry of structured surfaces, and to
Whitehouse, D. J. (David J.)
core   +1 more source

The Steel Surface Multiple Defect Detection and Size Measurement System Based on Improved YOLOv5

open access: yesJournal of Electrical and Computer Engineering, 2023
In the process of steel production, the defects on the surface of steel will adversely affect the subsequent processing of a product. Accurate detection of such defects is the key to improve production efficiency and economic benefits.
Yiming Xu   +4 more
doaj   +1 more source

Surface Defect Detection in Sanitary Ceramics Based on Lightweight Object Detection Network

open access: yesIEEE Open Journal of the Industrial Electronics Society, 2022
Sanitary ceramic products, such as toilet and wash basin, are widely used in our daily life. Sanitary ceramics are expected to have some excellent physical properties, such as corrosion resistance, easy cleaning, and low water absorption.
Jingfan Hang   +4 more
doaj   +1 more source

Limitation of Acoustic Emission for Identifying Seeded Defects in Gearboxes [PDF]

open access: yes, 2005
Acoustic Emissions (AE) is gaining ground as a Nonestructive Technique (NDT) for health diagnosis on rotating machinery. Vast opportunities exist for development of the AE technique on various forms of rotating machinery, including gearboxes.
Mba, David, Tan, Chee Keong
core   +1 more source

Seeded fault detection on helical gears with acoustic emission [PDF]

open access: yes, 2009
Acoustic emission (AE) is one of many technologies for health monitoring and diagnosis of rotating machines such as gearboxes. Although significant research has been undertaken in understanding the potential of AE in monitoring gearboxes this has been
Mba, David, Eftekharnejad, Babak
core   +1 more source

Efficient road surface detection using visible light communication [PDF]

open access: yes, 2015
This paper presents an efficient road surface detection technique based on visible light communication (VLC). It uses light emitting diodes (LED) based car headlamps to illuminate the road surface and capture the diffuse and specular reflections from the
Ghassemlooy, Zabih   +7 more
core   +1 more source

Industrial Product Surface Anomaly Detection with Realistic Synthetic Anomalies Based on Defect Map Prediction

open access: yesSensors
The occurrence of anomalies on the surface of industrial products can lead to issues such as decreased product quality, reduced production efficiency, and safety hazards.
Tao Peng   +3 more
doaj   +1 more source

A local defect resonance for linear and nonlinear ultrasonic thermography [PDF]

open access: yes, 2014
An efficient wave-defect interaction is the key to a high thermal response of flaws in ultrasonic thermography. To selectively enhance defect vibrations a concept of local defect resonance is developed and applied to ultrasonic activation of defects ...
Solodov, I., Rahammer, M., Busse, G.
core   +1 more source

RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8

open access: yesSensors
Surface defect detection in chips is crucial for ensuring product quality and reliability. This paper addresses the challenge of low identification accuracy in chip surface defect detection, which arises from the similarity of defect characteristics ...
Wenjie Tang, Yangjun Deng, Xu Luo
doaj   +1 more source

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