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Journal Articles

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

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 Article titled, 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

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

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

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 Article titled, 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

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

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 Article titled, 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

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

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

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 Article titled, 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

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 Article titled, 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