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Journal Articles

Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

Joseph Cohen, Jun Ni

Publisher: ASME

J. Manuf. Sci. Eng. June 2022, 144(6): 061008.

Paper No: MANU-21-1317

https://doi.org/10.1115/1.4052761

Published Online: December 3, 2021

View Article titled, Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

Topics: Algorithms, Computer-aided engineering, Dimensions, Feature extraction, Machine learning, Principal component analysis, Integrated circuit fabrication, Artificial intelligence

Journal Articles

Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing

Seyyed Hadi Seifi, Wenmeng Tian, Haley Doude, Mark A. Tschopp, Linkan Bian

Publisher: ASME

J. Manuf. Sci. Eng. August 2019, 141(8): 081013.

Paper No: MANU-18-1582

https://doi.org/10.1115/1.4043898

Published Online: June 21, 2019

View Article titled, Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing

Topics: Additive manufacturing, Dynamic light scattering, Hull, Lasers, Manufacturing, Modeling, Porosity, Tensors, Pyrometers, Principal component analysis

Journal Articles

Phenomenological Study of Multivariable Effects on Exit Burr Criteria During Orthogonal Cutting of AlSi Alloys Using Principal Components Analysis

Tristan Régnier, Guillaume Fromentin, Alain D'Acunto, José Outeiro, Bertrand Marcon, Arnaud Crolet

Publisher: ASME

J. Manuf. Sci. Eng. October 2018, 140(10): 101006.

Paper No: MANU-18-1231

https://doi.org/10.1115/1.4040623

Published Online: July 9, 2018

View Article titled, Phenomenological Study of Multivariable Effects on Exit Burr Criteria During Orthogonal Cutting of AlSi Alloys Using Principal Components Analysis

Topics: Cutting, Principal component analysis, Alloys, Geometry, Machining

Journal Articles

Correlating Variations in the Dynamic Resistance Signature to Weld Strength in Resistance Spot Welding Using Principal Component Analysis

David W. Adams, Cameron D. E. Summerville, Brendan M. Voss, Jack Jeswiet, Matthew C. Doolan

Publisher: ASME

J. Manuf. Sci. Eng. April 2017, 139(4): 044502.

Paper No: MANU-15-1448

https://doi.org/10.1115/1.4034887

Published Online: November 9, 2016

View Article titled, Correlating Variations in the Dynamic Resistance Signature to Weld Strength in Resistance Spot Welding Using Principal Component Analysis

Topics: Principal component analysis, Quality control, Shapes, Welded joints, Welding, Mode shapes, Signals, Joining

Journal Articles

Process Parameters Influencing Tertiary Scale Formation at a Hot Strip Mill Using a Multinomial Logit Model

Mark Evans, Jonathan Kennedy, Paul Thomas

Publisher: ASME

J. Manuf. Sci. Eng. June 2013, 135(3): 031008.

Paper No: MANU-12-1126

https://doi.org/10.1115/1.4023717

Published Online: May 24, 2012

View Article titled, Process Parameters Influencing Tertiary Scale Formation at a Hot Strip Mill Using a Multinomial Logit Model

Topics: Incrustations, Probability, Steel, Strips, Temperature, Principal component analysis, Process control, Finishing

Journal Articles

Automatic Tonnage Monitoring for Missing Part Detection in Multi-Operation Forging Processes

Yong Lei, Zhisheng Zhang, Jionghua Jin

Publisher: ASME

J. Manuf. Sci. Eng. October 2010, 132(5): 051010.

https://doi.org/10.1115/1.4002531

Published Online: October 4, 2010

View Article titled, Automatic Tonnage Monitoring for Missing Part Detection in Multi-Operation Forging Processes

Topics: Design, Forging, Signals, Errors, Feature selection, Principal component analysis, Image segmentation, Probability, Process monitoring

Journal Articles

On-Line Prediction of Motor Shaft Misalignment Using Fast Fourier Transform Generated Spectra Data and Support Vector Regression

Olufemi A. Omitaomu, Myong K. Jeong, Adedeji B. Badiru, J. Wesley Hines

Publisher: ASME

J. Manuf. Sci. Eng. November 2006, 128(4): 1019–1024.

https://doi.org/10.1115/1.2194059

Published Online: February 3, 2006

View Article titled, On-Line Prediction of Motor Shaft Misalignment Using Fast Fourier Transform Generated Spectra Data and Support Vector Regression

Topics: Condition monitoring, Engines, Fast Fourier transforms, Motors, Spectra (Spectroscopy), Support vector machines, Maintenance, Computation, Principal component analysis, Machinery

Journal Articles

Assembly Fixture Fault Diagnosis Using Designated Component Analysis

Y. G. Liu, S. J. Hu

Publisher: ASME

J. Manuf. Sci. Eng. May 2005, 127(2): 358–368.

https://doi.org/10.1115/1.1852572

Published Online: April 25, 2005

View Article titled, Assembly Fixture Fault Diagnosis Using Designated Component Analysis

Topics: Eigenvalues, Failure, Fault diagnosis, Manufacturing, Deflection, Sheet metal, Principal component analysis, Statistical analysis

Journal Articles

Compliant Assembly Variation Analysis Using Component Geometric Covariance

Jaime A. Camelio, S. Jack Hu, Samuel P. Marin

Publisher: ASME

J. Manuf. Sci. Eng. May 2004, 126(2): 355–360.

https://doi.org/10.1115/1.1644553

Published Online: July 8, 2004

View Article titled, Compliant Assembly Variation Analysis Using Component Geometric Covariance

Topics: Deformation, Manufacturing, Principal component analysis

Journal Articles

Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies

Q. Rong, D. Ceglarek, J. Shi

Publisher: ASME

J. Manuf. Sci. Eng. November 2000, 122(4): 773–780.

https://doi.org/10.1115/1.1285917

Published Online: October 1, 1999

View Article titled, Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies

Topics: Eigenvalues, Fault diagnosis, Manufacturing, Stiffness, Modeling, Errors, Principal component analysis

Journal Articles

Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition

D. Ceglarek, J. Shi

Publisher: ASME

J. Manuf. Sci. Eng. February 1996, 118(1): 55–66.

https://doi.org/10.1115/1.2803648

Published Online: February 1, 1996

View Article titled, Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition

Topics: Failure, Manufacturing, Pattern recognition, Computer-aided design, Geometry, Principal component analysis, Simulation

Journal citation

NARROW

Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing

Phenomenological Study of Multivariable Effects on Exit Burr Criteria During Orthogonal Cutting of AlSi Alloys Using Principal Components Analysis

Correlating Variations in the Dynamic Resistance Signature to Weld Strength in Resistance Spot Welding Using Principal Component Analysis

Process Parameters Influencing Tertiary Scale Formation at a Hot Strip Mill Using a Multinomial Logit Model

Automatic Tonnage Monitoring for Missing Part Detection in Multi-Operation Forging Processes

On-Line Prediction of Motor Shaft Misalignment Using Fast Fourier Transform Generated Spectra Data and Support Vector Regression

Assembly Fixture Fault Diagnosis Using Designated Component Analysis

Compliant Assembly Variation Analysis Using Component Geometric Covariance

Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies

Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition

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