Variations in programmed phase defect size and its impact on defect detection signal intensity using at-wavelength inspection system

2015 ◽  
Author(s):  
Tsuyoshi Amano ◽  
Noriaki Takagi ◽  
Tsukasa Abe
Keyword(s):  
Defect Detection ◽  
Signal Intensity ◽  
Defect Size ◽  
Inspection System ◽  
Détection Signal ◽  
Detection Signal

scholarly journals Photoacoustics for listening to Metal Nanoparticles Super-Aggregates

2021 ◽  
Author(s):  
Roberto Li Voti ◽  
Grigore Leahu ◽  
Concita Sibilia ◽  
Roberto Matassa ◽  
Giuseppe Familiari ◽  
...  
Keyword(s):  
Metal Nanoparticles ◽  
Size Distribution ◽  
Packing Density ◽  
Self Assembly ◽  
Détection Signal ◽  
Photoacoustic Detection ◽  
New Strategy ◽  
Aggregate Packing ◽  
Detection Signal

Photoacoustic detection signal has been used to build a new strategy to determine the mesoscale self-assembly of metal nanoparticles in terms of size distribution and aggregate packing density (metal nanoparticles...

Application of the SEMSpec electron-beam inspection system to in-process defect detection on semiconductor wafers

1996 ◽  
Vol 30 (1-4) ◽  
pp. 567-570 ◽  
Author(s):  
T.R. Cass ◽  
D. Hendricks ◽  
J. Jau ◽  
H.J. Dohse ◽  
A.D. Brodie ◽  
...  
Keyword(s):  
Electron Beam ◽  
Defect Detection ◽  
Inspection System

scholarly journals Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5136
Author(s):  
Xiaoxin Fang ◽  
Qiwu Luo ◽  
Bingxing Zhou ◽  
Congcong Li ◽  
Lu Tian
Keyword(s):  
Defect Detection ◽  
Surface Defect ◽  
Three Dimensional ◽  
Image Features ◽  
Stereoscopic Vision ◽  
Research Progress ◽  
Inspection System ◽  
Two Dimensional ◽  
Surface Defect Detection ◽  
Planar Materials

The computer-vision-based surface defect detection of metal planar materials is a research hotspot in the field of metallurgical industry. The high standard of planar surface quality in the metal manufacturing industry requires that the performance of an automated visual inspection system and its algorithms are constantly improved. This paper attempts to present a comprehensive survey on both two-dimensional and three-dimensional surface defect detection technologies based on reviewing over 160 publications for some typical metal planar material products of steel, aluminum, copper plates and strips. According to the algorithm properties as well as the image features, the existing two-dimensional methodologies are categorized into four groups: statistical, spectral, model, and machine learning-based methods. On the basis of three-dimensional data acquisition, the three-dimensional technologies are divided into stereoscopic vision, photometric stereo, laser scanner, and structured light measurement methods. These classical algorithms and emerging methods are introduced, analyzed, and compared in this review. Finally, the remaining challenges and future research trends of visual defect detection are discussed and forecasted at an abstract level.

Experimental Study of the Influencing Factors of Elevator Cable Magnetic Flux Leakage Detection Signal

2013 ◽  
Vol 711 ◽  
pp. 327-332
Author(s):  
Yi Su ◽  
Zhen Zhang ◽  
Tao Zhang ◽  
Ming Li Yang ◽  
Mei Lin ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Probe Design ◽  
Détection Signal ◽  
Detection Mechanism ◽  
Fracture Width ◽  
Lift Off ◽  
Elevator Cable ◽  
Flux Leakage ◽  
Detection Signal

The detection mechanism of Magnetic Flux Leakage (MFL) Method of elevator cable is proposed. Using Gauss-Mercury method to analyze the influence of different factors that lift-off value, fracture width, broken wires number and diameter and depth all that based on the collecting experimental system of MFL signals. The method can be used to optimize the detection probe design and detection signal processing.

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