NSTL国家科技图书文献中心

1. The formation mechanism of flaw detection in wind power gear steel NSTL国家科技图书文献中心

Zhang, Yuntian | Cheng, Guoguang ... - 《Engineering failure analysis》 - 2025,173 - 109417～ - 共15页

摘要：In order to address the frequent occurrence of | ultrasonic testing defects in wind power gear steel, this | paper investigates the causes of these defects | . Through defect observation and comprehensive sampling | analysis of the refining process, the types of defects

关键词： Wind power gear steel | Ultrasonic testing | Refining | CT scanning

2. A Method for Quality Inspection of Continuous Casting Billet Based on Infrared Flaw Detection and 2-D Image NSTL国家科技图书文献中心

Fu, Tianjie | Li, Peiyu ... - 《IEEE Transactions on Instrumentation and Measurement》 - 2025,74(Pt.1) - 5002214.1～5002214.14 - 共14页

摘要：It is very important to improve product | quality while reducing cost and increasing efficiency in | steelmaking industry. The assurance of continuous casting | billet quality is essential in the production process | to ensure the manufacturing of high-quality

关键词： Production | Steel | Casting | Billets | Defect detection | Costs | Imaging | Infrared imaging | Accuracy | Deep learning...

3. Validation of spatial accuracy with high-speed imaging to support in situ flaw detection for laser directed energy deposition processes NSTL国家科技图书文献中心

Dieter De Baere | Jorge Sanchez-Medina ... - 《Journal of laser applications》 - 2025,37(1) - 12012.1～12012.8 - 共8页

摘要：The application of in situ monitoring systems | for part quality verification or process | qualification of the laser based directed energy deposition | process will require the ability to confidently detect | (or estimate) the type, size, and location of

关键词： in situ monitoring | directed energy deposition (DED) | synchronization accuracy | image registration | calibration framework

4. The detection of PAUT pseudo defects in ultra-thick stainless-steel welds with a multimodal deep learning model NSTL国家科技图书文献中心

Cao, Weiwen | Sun, Xingyue ... - 《Measurement》 - 2025,241(Pt.1) - 115662.1～115662.12 - 共12页

摘要： fusion model is proposed to improve the detection* of* | detection rate can reach up to 100 %. The multimodal model | The pseudo defects are difficult to | distinguish in Phased Array Ultrasonic Testing (PAUT) thick | -walled weldments. In this work, a multimodal feature

关键词： Deep learning | Multimodal fusion | PAUT | Weldment flaw detection

5. От принципов действия до промышленных дефектоскопов: развитие внутритрубнои дефектоскопии трубопроводов NSTL国家科技图书文献中心

А. Н. Соловьев | А. Е. Сощенко - 《Наука и технологии трубопроводного транспорта нефти и нефтепродуктов》 - 2025,15(1) - 63～78 - 共16页

摘要：В 2007 г. был разработан специалистами Центра | технической диагностики (ЦТД) «Диаскан» и стал применяться | на нефтепроводах России комбинированный | внутритрубный дефектоскоп, позволяющий за один прогон | определять дефекты, которые до этого времени можно было

关键词： ультразвук | теневой метод | магнитная дефектоскопия | снаряд-дефектоскоп | нефтепровод | газопровод | комбинированный дефектоскоп | испытания | характеристики | надежность...

6. Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography NSTL国家科技图书文献中心

Pareek, Kaushal Arun | May, Daniel ... - 《Journal of Intelligent Manufacturing》 - 2025,36(3) - 1879～1905 - 共27页

摘要： detection system. This work presents a framework for | The vision of a deep learning-empowered non | -destructive evaluation technique aligns perfectly with the | goal of zero-defect manufacturing, enabling | manufacturers to detect and repair defects actively. However

关键词： Flaw detection | Deep learning | Data augmentation | Pre-training | Zero defect manufacturing | Inline inspection | Synthetic data | Finite element method | Image segmentation | Infrared thermography...

7. A Highly Sensitive Laser-Magnetic Focusing EMAR Method for Thin Metal Wall Thinning Measurements at Large Lift-Offs NSTL国家科技图书文献中心

Chen, Weiwei | Lu, Chao ... - 《IEEE sensors journal》 - 2025,25(3) - 4738～4748 - 共11页

摘要：-MFEMAR) method for flaw* detection at large lift-off* | detection signals at a lift-off as much as 15 mm. The | large lift-off detection* of thin-walled metal parts* | and laser-MFEMAR detection* comparison experiments on* | thickness detection* of thin-walled metal parts at greater*

关键词： Acoustics | Metals | Focusing | Electromagnetics | Bandwidth | Ultrasonic imaging | Testing | Probes | Magnetic resonance | Magnetic flux...

8. Investigation of a piezoelectric ultrasonic surface wave transducer that minimizes structural scattering NSTL国家科技图书文献中心

Zhu, Xinjie | Zhang, Jie ... - 《Journal of Physics,D.Applied Physics》 - 2025,58(3) - 共12页

摘要： structures and flaw* detection.* | , indicating good detection* capability. The experiment* | The structure of the transducers for surface | ultrasound wave sensing introduces structural scattering | that affects the transducer's performance. A

关键词： piezoelectric ultrasonic surface wave transducer | dynamic sound field simulation | structural scattering | uniform matching layer

9. Round robin experiment to detect, size, and characterize flaws in the welds of existing hydraulic steel structures using phased array ultrasonic testing NSTL国家科技图书文献中心

Schultz, Martin T. | Campbell, Leslie E.... - 《Ultrasonics》 - 2025,145 - 共10页

摘要： detected 83% of the flaws scanned, but detection* rates* | varied widely by flaw* and technician. Uncertainty in* | flaw size estimates, represented by 90% confidence | Limited information exists on the ability of | nondestructive testing techniques to detect, size, and

关键词： Phased array ultrasonic testing (PAUT) | Round robin experiments | Probability of detection | Uncertainty | Hydraulic steel structures | Fitness for service analysis

10. The Design of Defect Sample for Eddy Current Detection and Reliability Test NSTL国家科技图书文献中心

Ting Jiao | Junling Fan ... - 《Proceedings of the 7th China Aeronautical Science and Technology Conference,v.II》 - China Aeronautical Science and Technology Conference - 2025, - 413～426 - 共14页

摘要： distribution of the detection* reliability flaw sample meets* | Detection reliability test is the basis of | detection reliability engineering analysis method. The | probability of detection* curves based on the test directly* | the requirement of eddy current detection

摘要：In order to address the frequent occurrence of | ultrasonic testing defects in wind power gear steel, this | paper investigates the causes of these defects | . Through defect observation and comprehensive sampling | analysis of the refining process, the types of defects

关键词： Wind power gear steel | Ultrasonic testing | Refining | CT scanning

摘要：It is very important to improve product | quality while reducing cost and increasing efficiency in | steelmaking industry. The assurance of continuous casting | billet quality is essential in the production process | to ensure the manufacturing of high-quality

关键词： Production | Steel | Casting | Billets | Defect detection | Costs | Imaging | Infrared imaging | Accuracy | Deep learning...

摘要：The application of in situ monitoring systems | for part quality verification or process | qualification of the laser based directed energy deposition | process will require the ability to confidently detect | (or estimate) the type, size, and location of

关键词： in situ monitoring | directed energy deposition (DED) | synchronization accuracy | image registration | calibration framework

摘要： fusion model is proposed to improve the detection* of* | detection rate can reach up to 100 %. The multimodal model | The pseudo defects are difficult to | distinguish in Phased Array Ultrasonic Testing (PAUT) thick | -walled weldments. In this work, a multimodal feature

关键词： Deep learning | Multimodal fusion | PAUT | Weldment flaw detection

摘要： detection system. This work presents a framework for | The vision of a deep learning-empowered non | -destructive evaluation technique aligns perfectly with the | goal of zero-defect manufacturing, enabling | manufacturers to detect and repair defects actively. However

关键词： Flaw detection | Deep learning | Data augmentation | Pre-training | Zero defect manufacturing | Inline inspection | Synthetic data | Finite element method | Image segmentation | Infrared thermography...

摘要：-MFEMAR) method for flaw* detection at large lift-off* | detection signals at a lift-off as much as 15 mm. The | large lift-off detection* of thin-walled metal parts* | and laser-MFEMAR detection* comparison experiments on* | thickness detection* of thin-walled metal parts at greater*

关键词： Acoustics | Metals | Focusing | Electromagnetics | Bandwidth | Ultrasonic imaging | Testing | Probes | Magnetic resonance | Magnetic flux...

摘要： structures and flaw* detection.* | , indicating good detection* capability. The experiment* | The structure of the transducers for surface | ultrasound wave sensing introduces structural scattering | that affects the transducer's performance. A

关键词： piezoelectric ultrasonic surface wave transducer | dynamic sound field simulation | structural scattering | uniform matching layer

摘要： detected 83% of the flaws scanned, but detection* rates* | varied widely by flaw* and technician. Uncertainty in* | flaw size estimates, represented by 90% confidence | Limited information exists on the ability of | nondestructive testing techniques to detect, size, and

关键词： Phased array ultrasonic testing (PAUT) | Round robin experiments | Probability of detection | Uncertainty | Hydraulic steel structures | Fitness for service analysis

摘要： distribution of the detection* reliability flaw sample meets* | Detection reliability test is the basis of | detection reliability engineering analysis method. The | probability of detection* curves based on the test directly* | the requirement of eddy current detection

关键词： Eddy current detection | Riveted joint | Probability of detection | Fatigue crack | Independence

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：In order to address the frequent occurrence of | ultrasonic testing defects in wind power gear steel, this | paper investigates the causes of these defects | . Through defect observation and comprehensive sampling | analysis of the refining process, the types of defects

关键词： Wind power gear steel | Ultrasonic testing | Refining | CT scanning

摘要：It is very important to improve product | quality while reducing cost and increasing efficiency in | steelmaking industry. The assurance of continuous casting | billet quality is essential in the production process | to ensure the manufacturing of high-quality

关键词： Production | Steel | Casting | Billets | Defect detection | Costs | Imaging | Infrared imaging | Accuracy | Deep learning...

摘要：The application of in situ monitoring systems | for part quality verification or process | qualification of the laser based directed energy deposition | process will require the ability to confidently detect | (or estimate) the type, size, and location of

关键词： in situ monitoring | directed energy deposition (DED) | synchronization accuracy | image registration | calibration framework

摘要： fusion model is proposed to improve the detection of | detection rate can reach up to 100 %. The multimodal model | The pseudo defects are difficult to | distinguish in Phased Array Ultrasonic Testing (PAUT) thick | -walled weldments. In this work, a multimodal feature

关键词： Deep learning | Multimodal fusion | PAUT | Weldment flaw detection

摘要： detection system. This work presents a framework for | The vision of a deep learning-empowered non | -destructive evaluation technique aligns perfectly with the | goal of zero-defect manufacturing, enabling | manufacturers to detect and repair defects actively. However

关键词： Flaw detection | Deep learning | Data augmentation | Pre-training | Zero defect manufacturing | Inline inspection | Synthetic data | Finite element method | Image segmentation | Infrared thermography...

摘要：-MFEMAR) method for flaw detection at large lift-off | detection signals at a lift-off as much as 15 mm. The | large lift-off detection of thin-walled metal parts | and laser-MFEMAR detection comparison experiments on | thickness detection of thin-walled metal parts at greater

关键词： Acoustics | Metals | Focusing | Electromagnetics | Bandwidth | Ultrasonic imaging | Testing | Probes | Magnetic resonance | Magnetic flux...

摘要： structures and flaw detection. | , indicating good detection capability. The experiment | The structure of the transducers for surface | ultrasound wave sensing introduces structural scattering | that affects the transducer's performance. A

关键词： piezoelectric ultrasonic surface wave transducer | dynamic sound field simulation | structural scattering | uniform matching layer

摘要： detected 83% of the flaws scanned, but detection rates | varied widely by flaw and technician. Uncertainty in | flaw size estimates, represented by 90% confidence | Limited information exists on the ability of | nondestructive testing techniques to detect, size, and

关键词： Phased array ultrasonic testing (PAUT) | Round robin experiments | Probability of detection | Uncertainty | Hydraulic steel structures | Fitness for service analysis

摘要： distribution of the detection reliability flaw sample meets | Detection reliability test is the basis of | detection reliability engineering analysis method. The | probability of detection curves based on the test directly | the requirement of eddy current detection

关键词： Eddy current detection | Riveted joint | Probability of detection | Fatigue crack | Independence

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： fusion model is proposed to improve the detection* of* | detection rate can reach up to 100 %. The multimodal model | The pseudo defects are difficult to | distinguish in Phased Array Ultrasonic Testing (PAUT) thick | -walled weldments. In this work, a multimodal feature

摘要：-MFEMAR) method for flaw* detection at large lift-off* | detection signals at a lift-off as much as 15 mm. The | large lift-off detection* of thin-walled metal parts* | and laser-MFEMAR detection* comparison experiments on* | thickness detection* of thin-walled metal parts at greater*

摘要： structures and flaw* detection.* | , indicating good detection* capability. The experiment* | The structure of the transducers for surface | ultrasound wave sensing introduces structural scattering | that affects the transducer's performance. A

摘要： detected 83% of the flaws scanned, but detection* rates* | varied widely by flaw* and technician. Uncertainty in* | flaw size estimates, represented by 90% confidence | Limited information exists on the ability of | nondestructive testing techniques to detect, size, and

摘要： distribution of the detection* reliability flaw sample meets* | Detection reliability test is the basis of | detection reliability engineering analysis method. The | probability of detection* curves based on the test directly* | the requirement of eddy current detection