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Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu
Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y
An image-recognition-based diagnosis system of pipe defect types
Keywords: Sewer pipe defects Defect diagnosing Image recognition Multi-features extraction Support vector machine
Acoustic fault signal extraction via the line-defect phononic crystals
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 10-10 doi: 10.1007/s11465-021-0666-y
Keywords: phononic crystals line-defect fault signal extraction acoustic enhancement
Research progress of defect-engineered UiO-66(Zr) MOFs for photocatalytic hydrogen production
Frontiers in Energy 2021, Volume 15, Issue 3, Pages 656-666 doi: 10.1007/s11708-021-0765-9
Keywords: defect engineering metal-organic frameworks UiO-66 photocatalysis
The defect-length effect in corrosion detection with magnetic method for bridge cables
Qiwei ZHANG, Rongya XIN
Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4, Pages 662-671 doi: 10.1007/s11709-018-0512-4
Keywords: bridge cable corrosion detection defect length MF examination quantitative evaluation
Single-electromagnet levitation for density measurement and defect detection
Yuhan JIA, Peng ZHAO, Jun XIE, Xuechun ZHANG, Hongwei ZHOU, Jianzhong FU
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1, Pages 186-195 doi: 10.1007/s11465-020-0608-0
Keywords: single-electromagnet electromagnetic levitation density measurement defect detection
Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT
Frontiers in Energy 2017, Volume 11, Issue 1, Pages 4-22 doi: 10.1007/s11708-016-0442-6
Keywords: Czochralski silicon boron-oxygen defect injection dependent lifetime spectroscopy goodness-of-fit repeatability
Study on Defect Detection Technology for Bridge Deck Pavements
Guo Chengchao,Xu Pengfei and Cui Can
Strategic Study of CAE 2017, Volume 19, Issue 6, Pages 38-43 doi: 10.15302/J-SSCAE-2017.06.006
The bridge deck is the most vulnerable part of a bridge during its entire life cycle. The deck pavement is often adversely affected by improper construction methods, the aging of concrete, and corrosion of steel bars. This then has an adverse effect on the structure and overall performance of the bridge. Therefore, it is necessary to determined defects related to the bridge deck and to conduct relevant quality evaluations. This article describes the mechanism, application methods, and testing equipment of four mainstream nondestructive testing technologies used worldwide: ground penetrating radar, half-cell potential, impact echo, and infrared thermography. The use of one or more of these methods can accurately assess the deterioration of the bridge deck and make a rapid, nondestructive evaluation, which provides technical support for rapid detection and accurate evaluation of the deck situation, leading to reduced structural defects and an extended bridge life cycle.
Keywords: bridge deck pavement defect nondestructive testing
Effect of cavity defect on the triaxial mechanical properties of high-performance concrete
Yanbin ZHANG; Zhe WANG; Mingyu FENG
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5, Pages 600-614 doi: 10.1007/s11709-022-0821-5
Keywords: high-performance concrete cavity conventional triaxial compression pressurized liquid modified power-law criterion
Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 4, Pages 449-459 doi: 10.1007/s11705-022-2226-3
Keywords: UiO-66/MoSe2 photocatalysis dye-containing wastewater heavy metal wastewater oxygen vacancies
Afeature selection approach based on a similarity measure for software defect prediction Article
Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1744-1753 doi: 10.1631/FITEE.1601322
Keywords: Software defect prediction Feature selection Similarity measure Feature weights Feature ranking list
Detection for transverse corner cracks of steel plates’ surface using wavelet
Qiong ZHOU, Qi AN
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 224-227 doi: 10.1007/s11465-009-0017-x
Keywords: transverse corner cracks defect detection multi-scales wavelet analysis
A software defect prediction method with metric compensation based on feature selection and transfer Research Article
Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN,caisaih@ujs.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5, Pages 715-731 doi: 10.1631/FITEE.2100468
Keywords: Defect prediction Feature selection Transfer learning Metric compensation
The role of ions in plasma catalytic carbon nanotube growth: A review
Erik C. Neyts
Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 2, Pages 154-162 doi: 10.1007/s11705-015-1515-5
Keywords: plasma-enhanced chemical vapor deposition (PECVD) carbon nanotube (CNT) ion bombardment defect healing
Li Xuejun,Bin Guangfu,Wang Yuqing
Strategic Study of CAE 2006, Volume 8, Issue 4, Pages 50-53
Because of the unobserved sudden fatigue failure of the large-scale and heavyburden supporting shafts, the normal product line is affected seriously. Based on analyzing the relation ship between this type of supporting shafts construction characteristics and vibration signal characteristic, the model of the vibration signal is established by the method of time series.Residual () and normal residue square sum (NRSS) are adopted to identify the fault state, and the degree of supporting shafts' fatigue crack is diagnosed effectively.The result of experiment shows that the method of time series using and NRSS as the index to diagnose the fatigue crack of large-scale and heavyburden supporting shafts is more sensitive and effective than the normal method using time-frequency domain of amplitude, and has very strong practicability.
Keywords: large-scale and heavyburden machine supporting shaft concealment part fatigue crack time series
Detection of solder bump defects on a flip chip using vibration analysis
Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO
Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 29-37 doi: 10.1007/s11465-012-0314-7
Keywords: flip chip defect detection ultrasonic excitation vibration analysis
Title Author Date Type Operation
Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in a southern Chinese city
Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu
Journal Article
Research progress of defect-engineered UiO-66(Zr) MOFs for photocatalytic hydrogen production
Journal Article
The defect-length effect in corrosion detection with magnetic method for bridge cables
Qiwei ZHANG, Rongya XIN
Journal Article
Single-electromagnet levitation for density measurement and defect detection
Yuhan JIA, Peng ZHAO, Jun XIE, Xuechun ZHANG, Hongwei ZHOU, Jianzhong FU
Journal Article
Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon
Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT
Journal Article
Study on Defect Detection Technology for Bridge Deck Pavements
Guo Chengchao,Xu Pengfei and Cui Can
Journal Article
Effect of cavity defect on the triaxial mechanical properties of high-performance concrete
Yanbin ZHANG; Zhe WANG; Mingyu FENG
Journal Article
Construction of defect-containing UiO-66/MoSe heterojunctions with superior photocatalytic performance
Journal Article
Afeature selection approach based on a similarity measure for software defect prediction
Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG
Journal Article
Detection for transverse corner cracks of steel plates’ surface using wavelet
Qiong ZHOU, Qi AN
Journal Article
A software defect prediction method with metric compensation based on feature selection and transfer
Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN,caisaih@ujs.edu.cn
Journal Article
Time Series Diagnosing Analysis for the Fatigue Crack of Large-scale and Heavyburden Supporting Shafts
Li Xuejun,Bin Guangfu,Wang Yuqing
Journal Article