A high-effective multitask surface defect detection method based on CBAM and atrous convolution
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 Given the shortcomings of conventional machine vision-based surface defect detection methods, including their low accuracy, long development cycle, and poor generalization ability, this paper proposes a surface defect detection model based on the ...
Xin XIE +4 more
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Near field enhancements from angled surface defects : a comparison of scanning laser source and scanning laser detection techniques [PDF]
, 2011 Enhancement of the Rayleigh wave signal amplitude at a surface defect, due to interference of incident, reflected and mode converted waves, has been reported by several authors, and it has been suggested that this could be used as a fingerprint of the ...
Edwards, R. S. (Rachel S.) +5 more
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Materials Research Express, 2022 In phased array ultrasonic sector scanning testing, echoes from defects near the detection surface are often overlapped with interface echoes and cannot be characterized.
Yukuo Tian +6 more
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An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection. [PDF]
, 2004 In light of recent accidents in the rail industry, the assessment of the mechanical integrity of rail-track is of vital importance. This encompasses the integrity of the track due to rolling contact fatigue and surface wear. Whilst numerous techniques
Mba, David, Bruzelius, Kristoffer
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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. +11 more
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Real-Time Tiny Part Defect Detection System in Manufacturing Using Deep Learning
IEEE Access, 2019 We adopted actual intelligent production requirements and proposed a tiny part defect detection method to obtain a stable and accurate real-time tiny part defect detection system and solve the problems of manually setting conveyor speed and industrial ...
Jing Yang +3 more
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Review of surface defect detection of steel products based on machine vision
IET Image Processing, 2023 Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two decades.
Bo Tang +3 more
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Bearing defect diagnosis and acoustic emission. [PDF]
, 2003 Acoustic emission (AE) was originally developed for non-destructive testing of static structures, however, over the years its application has been extended to health monitoring of rotating machines and bearings.
Mba, David +3 more
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IEEE Access, 2023 Printed circuit boards (PCBs) are a nearly ubiquitous component of every kind of electronic device. With the rapid development of integrated circuit and semiconductor technology, the size of a PCB can shrink down to a very tiny dimension. Therefore, high-
Qin Ling, Nor Ashidi Mat Isa
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A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size [PDF]
, 2006 Vibration monitoring of rolling element bearings is probably the most established diagnostic technique for rotating machinery. The application of acoustic emission (AE) for bearing diagnosis is gaining ground as a complementary diagnostic tool, however ...
Mba, David, Al-Ghamd, Abdullah M.
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