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Journal Articles

Learning-Based Approach for Automated Surface Inspection with Industrial Tomography Imaging

Majd Saied, Reda Ali, Clovis Francis, Giovanni Radilla, Ziad Noun
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2024, 7(3): 031004.
Paper No: NDE-24-1005
https://doi.org/10.1115/1.4065428
Published Online: May 24, 2024
View Article titled, Learning-Based Approach for Automated Surface Inspection with Industrial Tomography Imaging
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Topics: Convolutional neural networks, Flaw detection, Imaging, Inspection, Machine learning, Steel, Support vector machines, Deep learning, Feature extraction, Algorithms
Journal Articles

Identification of Bearing Clearance in Sugar Centrifuge Using Dimension Theory and Support Vector Machine on Vibration Measurement

Vishal G. Salunkhe, R. G. Desavale, S. M. Khot, Nitesh P. Yelve
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2024, 7(2): 021003.
Paper No: NDE-23-1038
https://doi.org/10.1115/1.4064613
Published Online: February 26, 2024
View Article titled, Identification of Bearing Clearance in Sugar Centrifuge Using Dimension Theory and Support Vector Machine on Vibration Measurement
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Topics: Bearings, Clearances (Engineering), Vibration, Support vector machines, Dimensions
Journal Articles

Fault Diagnosis of Bearings Using Recurrences and Artificial Intelligence Techniques

Aditya Sharma
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): 031004.
Paper No: NDE-21-1027
https://doi.org/10.1115/1.4053773
Published Online: March 1, 2022
View Article titled, Fault Diagnosis of Bearings Using Recurrences and Artificial Intelligence Techniques
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Topics: Artificial intelligence, Bearings, Fault diagnosis, Support vector machines, Rolling bearings, Artificial neural networks, Rotation
Journal Articles

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

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 Article titled, Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue
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Topics: Algorithms, Cycles, Damage, Failure, Fatigue, Machine learning, Testing, Stress, Multilayer perceptron, Artificial neural networks
Journal Articles

Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines

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 Article titled, 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

An Intelligent Prediction for Detecting Bearing Vibration Characteristics Using a Machine Learning Model

Vishal G. Salunkhe, R. G. Desavale
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): 031004.
Paper No: NDE-19-1091
https://doi.org/10.1115/1.4049938
Published Online: February 23, 2021
View Article titled, An Intelligent Prediction for Detecting Bearing Vibration Characteristics Using a Machine Learning Model
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Topics: Bearings, Support vector machines, Vibration, Rotors, Rollers
Journal Articles

Multisource Data Fusion for Classification of Surface Cracks in Steel Pipes

Samir Mustapha, Ali Braytee, Lin Ye
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. May 2018, 1(2): 021007–021007-11.
Paper No: NDE-17-1093
https://doi.org/10.1115/1.4038862
Published Online: January 24, 2018
View Article titled, Multisource Data Fusion for Classification of Surface Cracks in Steel Pipes
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Topics: Damage, Data fusion, Pipes, Sensors, Steel, Support vector machines, Algorithms, Testing, Surface cracks, Semiconductor wafers