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Journal Articles

Research on Advanced Prediction of Major Equipment Fatigue Load Based on Deep Learning

Accepted Manuscript
Bowen Yang, Chenxu Yang, Junzhou Huo, Xiangfeng Si
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation.
Paper No: NDE-23-1029
https://doi.org/10.1115/1.4065819
Published Online: June 24, 2024
View Article titled, Research on Advanced Prediction of Major Equipment Fatigue Load Based on Deep Learning
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Topics: Deep learning, Fatigue, Nondestructive evaluation, Stress, Convolutional neural networks, Errors, Fatigue life, Ablation (Vaporization technology), Aerospace engineering, Numerical analysis
Journal Articles

Impact of Manufacturing Flaw on Fatigue Damage Development and on Stiffness Variation in Woven Composite Plates

Nidhal Bouslama, Nicolas Quaegebeur, Ahmed Maslouhi, Patrice Masson
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2022, 5(3): 031009.
Paper No: NDE-21-1019
https://doi.org/10.1115/1.4054656
Published Online: June 20, 2022
View Article titled, Impact of Manufacturing Flaw on Fatigue Damage Development and on Stiffness Variation in Woven Composite Plates
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Topics: Damage, Fatigue, Fatigue life, Manufacturing, Stiffness, Ultrasonics, Acoustic emissions, Fatigue damage, Delamination, Composite materials
Journal Articles

Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples

Zi Li, Bharath Basti Shenoy, Lalita Udpa, Satish Udpa, Yiming Deng
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2021, 4(4): 041004.
Paper No: NDE-20-1082
https://doi.org/10.1115/1.4050842
Published Online: April 28, 2021
View Article titled, Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples
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Topics: Fatigue, Noise (Sound), Artificial neural networks, Principal component analysis, Uncertainty, Stainless steel, Signals, Fatigue life
Journal Articles

Imaging Fatigue Damage Precursors Based on Nonlinear Phased Array Ultrasonic Measurements of Diffuse Field

Gheorghe Bunget, James Rogers, Cristina J. Bunget, Analeia E. Lavitz, Stanley Henley
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2021, 4(1): 011004.
Paper No: NDE-20-1011
https://doi.org/10.1115/1.4047415
Published Online: June 25, 2020
View Article titled, Imaging Fatigue Damage Precursors Based on Nonlinear Phased Array Ultrasonic Measurements of Diffuse Field
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Topics: Aluminum, Damage, Fatigue damage, Imaging, Probes, Ultrasonic measurement, Service life (Equipment), Ultrasonics, Fatigue, Waves
Journal Articles

Decomposition Method to Detect Fatigue Damage Precursors in Thin Components Through Nonlinear Ultrasonic With Collinear Mixing Contributions

Gheorghe Bunget, Stanley Henley, Chance Glass, James Rogers, Matthew Webster, Kevin Farinholt, Fritz Friedersdorf, Marc Pepi, Anindya Ghoshal, Siddhant Datta, Aditi Chattopadhyay
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2020, 3(2): 021003.
Paper No: NDE-19-1039
https://doi.org/10.1115/1.4045960
Published Online: February 5, 2020
View Article titled, Decomposition Method to Detect Fatigue Damage Precursors in Thin Components Through Nonlinear Ultrasonic With Collinear Mixing Contributions
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Topics: Damage, Dislocations, Fatigue, Fatigue damage, Fatigue life, Fracture (Materials), Reflection, Signals, Waves, Acoustics
Journal Articles

Weibull and Bootstrap-Based Data-Analytics Framework for Fatigue Life Prognosis of the Pressurized Water Nuclear Reactor Component Under Harsh Reactor Coolant Environment

Jae Phil Park, Subhasish Mohanty, Chi Bum Bahn, Saurin Majumdar, Krishnamurti Natesan
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2020, 3(1): 011004.
Paper No: NDE-19-1026
https://doi.org/10.1115/1.4045162
Published Online: November 5, 2019
View Article titled, Weibull and Bootstrap-Based Data-Analytics Framework for Fatigue Life Prognosis of the Pressurized Water Nuclear Reactor Component Under Harsh Reactor Coolant Environment
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Topics: Fatigue life, Modeling, Pressurized water reactors, Water, Maximum likelihood estimation, Electromagnetic scattering, Fatigue, Uncertainty
Journal Articles

Experimental Investigation of Second-Harmonic Lamb Wave Generation in Additively Manufactured Aluminum

Benjamin Steven Vien, Wing Kong Chiu, L. R. Francis Rose
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. November 2018, 1(4): 041003–041003-14.
Paper No: NDE-17-1101
https://doi.org/10.1115/1.4040390
Published Online: June 18, 2018
View Article titled, Experimental Investigation of Second-Harmonic Lamb Wave Generation in Additively Manufactured Aluminum
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Topics: Acoustics, Additive manufacturing, Aluminum, Cycles, Fatigue life, Waves, High cycle fatigue, Stress, Fatigue
Journal Articles

Prognostic Health Monitoring Method for Fatigue Failure of Solder Joints on Printed Circuit Boards Based on a Canary Circuit

Kenji Hirohata, Yousuke Hisakuni, Takahiro Omori
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. August 2018, 1(3): 031004–031004-12.
Paper No: NDE-17-1105
https://doi.org/10.1115/1.4039938
Published Online: May 3, 2018
View Article titled, Prognostic Health Monitoring Method for Fatigue Failure of Solder Joints on Printed Circuit Boards Based on a Canary Circuit
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Topics: Circuits, Cycles, Failure, Fatigue, Fatigue failure, Solder joints, Stress, Fatigue life