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Journal Articles

Composite Fault Identification in Multi-Part Coaxial Structure Equipment Based on Convolutional Neural Network-Transformer Neural Network

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Xiaotian Bai, Jiafeng Zhu, Huaitao Shi, Chengying Zhao, Rongzheng Zou
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2025, 8(4): 041001.
Paper No: NDE-24-1058
https://doi.org/10.1115/1.4068126
Published Online: April 3, 2025
View Articletitled, Composite Fault Identification in Multi-Part Coaxial Structure Equipment Based on Convolutional Neural Network-Transformer Neural Network
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Topics: Artificial neural networks, Composite materials, Convolutional neural networks, Signals, Vibration, Fault diagnosis, Bearings, Sensors, Feature extraction
Journal Articles

A Feature Extraction Method for Prognostic Health Assessment of Gas Compressor Valves

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Jacob J. Chesnes, Daniel A. Nelson, Jason R. Kolodziej
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): 041001.
Paper No: NDE-24-1001
https://doi.org/10.1115/1.4065546
Published Online: June 7, 2024
View Articletitled, A Feature Extraction Method for Prognostic Health Assessment of Gas Compressor Valves
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Topics: Valves, Wear, Compressors, Compression, Leakage, Suction, Feature extraction, Springs, Pressure, Cylinders
Journal Articles

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

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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 Articletitled, 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

Guided Wave-Based Early-Stage Debonding Detection and Assessment in Stiffened Panel Using Machine Learning With Deep Auto-Encoded Features

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Abhijeet Kumar, Sauvik Banerjee, Anirban Guha
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): 021004.
Paper No: NDE-23-1028
https://doi.org/10.1115/1.4064612
Published Online: March 7, 2024
View Articletitled, Guided Wave-Based Early-Stage Debonding Detection and Assessment in Stiffened Panel Using Machine Learning With Deep Auto-Encoded Features
Open the PDF for Guided Wave-Based Early-Stage Debonding Detection and Assessment in Stiffened Panel Using Machine Learning With Deep Auto-Encoded Features in another window
Topics: Damage, Feature extraction, Finite element analysis, Machine learning, Signals, Simulation, Waves, Algorithms, Dimensions
Journal Articles

Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel

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Bharath Basti Shenoy, Zi Li, Lalita Udpa, Satish Udpa, Yiming Deng, Thiago Seuaciuc-Osorio
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): 041010.
Paper No: NDE-21-1044
https://doi.org/10.1115/1.4055992
Published Online: November 8, 2022
View Articletitled, Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel
Open the PDF for Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel in another window
Topics: Fatigue, Noise (Sound), Stainless steel, Feature extraction, Nondestructive evaluation, Signals
Journal Articles

A Bayesian Optimized Discriminant Analysis Model for Condition Monitoring of Face Milling Cutter Using Vibration Datasets

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Naman S. Bajaj, Abhishek D. Patange, R. Jegadeeshwaran, Kaushal A. Kulkarni, Rohan S. Ghatpande, Atharva M. Kapadnis
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2022, 5(2): 021002.
Paper No: NDE-21-1010
https://doi.org/10.1115/1.4051696
Published Online: July 15, 2021
View Articletitled, A Bayesian Optimized Discriminant Analysis Model for Condition Monitoring of Face Milling Cutter Using Vibration Datasets
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Topics: Condition monitoring, Data acquisition, Milling, Optimization, Vibration, Machining centers, Feature extraction, Errors, Machine learning, Optimization algorithms
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

Gradient Feature Extract for the Quantification of Complex Defects Using Topographic Primal Sketch in Magnetic Flux Leakage

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Fred John Alimey, Haichao Yu, Libing Bai, Yuhua Cheng, Yonggang Wang
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): 011001.
Paper No: NDE-18-1040
https://doi.org/10.1115/1.4044778
Published Online: October 15, 2019
View Articletitled, Gradient Feature Extract for the Quantification of Complex Defects Using Topographic Primal Sketch in Magnetic Flux Leakage
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Topics: Excitation, Leakage, Magnetic flux, Shapes, Geometry, Feature extraction, Testing, Errors
Journal Articles

Gas Turbine Condition Monitoring Using Acoustic Emission Signals

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S. Shahkar, K. Khorasani
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. August 2019, 2(3): 031005.
Paper No: NDE-19-1009
https://doi.org/10.1115/1.4044232
Published Online: August 1, 2019
View Articletitled, Gas Turbine Condition Monitoring Using Acoustic Emission Signals
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Topics: Condition monitoring, Gas turbines, Machinery, Signals, Feature extraction, Acoustic emissions, Mechanical drives