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Journal Articles

Gaidai Risk Evaluation Method for Lifetime Assessment for Offshore Floating Wind Turbine Gearbox

Free
Oleg Gaidai
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2025, 8(2): 021005.
Paper No: NDE-24-1022
https://doi.org/10.1115/1.4066410
Published Online: September 11, 2024
View Articletitled, Gaidai Risk Evaluation Method for Lifetime Assessment for Offshore Floating Wind Turbine Gearbox
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Topics: Damage, Design, Dynamic systems, Evaluation methods, Floating wind turbines, Mechanical drives, Ocean engineering, Renewable energy, Risk, Risk assessment
Journal Articles

Digital Twin Applied to Predictive Maintenance for Industry 4.0

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Rochdi Kerkeni, Safa Khlif, Anis Mhalla, Kais Bouzrara
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2024, 7(4): 041008.
Paper No: NDE-24-1020
https://doi.org/10.1115/1.4065875
Published Online: July 26, 2024
View Articletitled, Digital Twin Applied to Predictive Maintenance for Industry 4.0
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Topics: Digital twin, Maintenance, Screws, Winding machines, Wire, Manufacturing, Failure
Journal Articles

Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network

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Louis Oh, Emil Pitz, Kishore Pochiraju
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2023, 6(2): 021003.
Paper No: NDE-22-1011
https://doi.org/10.1115/1.4056616
Published Online: January 31, 2023
View Articletitled, Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
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Topics: Artificial neural networks, Condition monitoring, Failure, Failure mechanisms, Sensors, Signals, Vibration
Journal Articles

Structural Health Monitoring of Electromechanical Actuators in Aviation—Challenges Ahead and Case Study

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Vittorio Memmolo, Ernesto Monaco, Fabrizio Ricci, Carmine Vaselli, Nicola Cimminiello, Pasquale Salvato
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2022, 5(4): 041004.
Paper No: NDE-21-1048
https://doi.org/10.1115/1.4054231
Published Online: May 10, 2022
View Articletitled, Structural Health Monitoring of Electromechanical Actuators in Aviation—Challenges Ahead and Case Study
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Topics: Actuators, Aviation, Electromechanical actuators, Failure, Screws, Stress, Maintenance, Aircraft, Flight, Engines
Journal Articles

Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue

Free
Subodh Kalia, Jakob Zeitler, Chilukuri K. Mohan, Volker Weiss
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): 041011.
Paper No: NDE-20-1085
https://doi.org/10.1115/1.4051903
Published Online: August 11, 2021
View Articletitled, Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue
Open the PDF for Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue in another window
Topics: Algorithms, Cycles, Damage, Failure, Fatigue, Machine learning, Testing, Stress, Multilayer perceptron, Artificial neural networks
Journal Articles

Prognostic Analysis of High-Speed Cylindrical Roller Bearing Using Weibull Distribution and k -Nearest Neighbor

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Maan Singh Rathore, S. P. Harsha
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2022, 5(1): 011005.
Paper No: NDE-20-1045
https://doi.org/10.1115/1.4051314
Published Online: June 15, 2021
View Articletitled, Prognostic Analysis of High-Speed Cylindrical Roller Bearing Using Weibull Distribution and k -Nearest Neighbor
Open the PDF for Prognostic Analysis of High-Speed Cylindrical Roller Bearing Using Weibull Distribution and k -Nearest Neighbor in another window
Topics: Bearings, Failure, Service life (Equipment), Principal component analysis, Vibration, Roller bearings, Weibull distribution, Dimensions
Journal Articles

Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines

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Libowen Xu, Qing Wang, Ioannis Ivrissimtzis, Shisong Li
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2022, 5(1): 011004.
Paper No: NDE-20-1055
https://doi.org/10.1115/1.4051222
Published Online: June 7, 2021
View Articletitled, Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines
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Topics: Bearings, Entropy, Failure, Rolling bearings, Signals, Support vector machines, Wind turbines, Feature extraction
Journal Articles

Composite Material Failure Model Updating Approach Leveraging Nondestructive Evaluation Data

Free
Mohammadreza Bahadori, Emine Tekerek, Melvin Mathew, Mazur Krzysztof, Brian Wisner, Antonios Kontsos
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2021, 4(3): 031002.
Paper No: NDE-20-1049
https://doi.org/10.1115/1.4049781
Published Online: February 12, 2021
View Articletitled, Composite Material Failure Model Updating Approach Leveraging Nondestructive Evaluation Data
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Topics: Composite materials, Damage, Failure, Modeling, Nondestructive evaluation, Stress
Journal Articles

Toward a Big Data-Based Approach: A Review on Degradation Models for Prognosis of Critical Infrastructure

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Guru Prakash, Xian-Xun Yuan, Budhaditya Hazra, Daijiro Mizutani
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2021, 4(2): 021005.
Paper No: NDE-20-1020
https://doi.org/10.1115/1.4048787
Published Online: November 10, 2020
View Articletitled, Toward a Big Data-Based Approach: A Review on Degradation Models for Prognosis of Critical Infrastructure
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Topics: Damage, Modeling, Physics, Failure, Reliability
Journal Articles

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

Free
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 Articletitled, 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

Progressive Failure Monitoring of Fiber-Reinforced Metal Laminate Composites Using a Nondestructive Approach

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Rami Carmi, Brian Wisner, Prashanth A. Vanniamparambil, Jefferson Cuadra, Arie Bussiba, Antonios Kontsos
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. May 2019, 2(2): 021006.
Paper No: NDE-18-1050
https://doi.org/10.1115/1.4043713
Published Online: May 30, 2019
View Articletitled, Progressive Failure Monitoring of Fiber-Reinforced Metal Laminate Composites Using a Nondestructive Approach
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Topics: Acoustic emissions, Composite materials, Damage, Failure, Fibers, Fracture (Process), Laminates, Metals, Testing, Signals
Journal Articles

A Data-Driven, Statistical Feature-Based, Neural Network Method for Rotary Seal Prognostics

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Madhumitha Ramachandran, Zahed Siddique
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. May 2019, 2(2): 024501.
Paper No: NDE-18-1034
https://doi.org/10.1115/1.4043191
Published Online: April 4, 2019
View Articletitled, A Data-Driven, Statistical Feature-Based, Neural Network Method for Rotary Seal Prognostics
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Topics: Artificial neural networks, Multilayer perceptron, Signals, Torque, Feature selection, Failure, Friction
Journal Articles

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

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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 Articletitled, 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