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Journal Articles

Dual-Metric Neural Network With Attention Guidance for Surface Defect Few-Shot Detection in Smart Manufacturing

Pengjie Gao, Junliang Wang, Min Xia, Zijin Qin, Jie Zhang

Publisher: ASME

J. Manuf. Sci. Eng. December 2023, 145(12): 121010.

Paper No: MANU-23-1311

https://doi.org/10.1115/1.4063356

Published Online: October 17, 2023

View Article titled, Dual-Metric Neural Network With Attention Guidance for Surface Defect Few-Shot Detection in Smart Manufacturing

Topics: Artificial neural networks, Feature extraction, Flaw detection, Manufacturing, Pattern recognition, Textiles, Visualization, Separation (Technology)

Journal Articles

Evaluating the Potential for Remote In-Process Monitoring of Tool Wear in Friction Stir Welding of Stainless Steel

Brian T. Gibson, Wei Tang, Artie G. Peterson, Zhili Feng, Gregory J. Frederick

Publisher: ASME

J. Manuf. Sci. Eng. February 2018, 140(2): 021012.

Paper No: MANU-17-1279

https://doi.org/10.1115/1.4037242

Published Online: December 18, 2017

View Article titled, Evaluating the Potential for Remote In-Process Monitoring of Tool Wear in Friction Stir Welding of Stainless Steel

Topics: Friction, Stainless steel, Wear, Welding, Welded joints, Pattern recognition

Journal Articles

Tool Wear Monitoring and Alarm System Based on Pattern Recognition With Logical Analysis of Data

Yasser Shaban, Soumaya Yacout, Marek Balazinski

Publisher: ASME

J. Manuf. Sci. Eng. August 2015, 137(4): 041004.

Paper No: MANU-14-1144

https://doi.org/10.1115/1.4029955

Published Online: August 1, 2015

View Article titled, Tool Wear Monitoring and Alarm System Based on Pattern Recognition With Logical Analysis of Data

Topics: Cutting, Cutting tools, Machining, Pattern recognition, Wear, Failure, Hazards

Journal Articles

A Pattern Recognition Approach for Manufacturing Facility Compaction by Machining Function Combination Using Flexible Manufacturing Modules

Shahrukh Irani, Jin Zhou, Heng Huang

Publisher: ASME

J. Manuf. Sci. Eng. November 2003, 125(4): 740–752.

https://doi.org/10.1115/1.1596558

Published Online: November 11, 2003

View Article titled, A Pattern Recognition Approach for Manufacturing Facility Compaction by Machining Function Combination Using Flexible Manufacturing Modules

Topics: Compacting, Machinery, Machining, Pattern recognition, Flexible manufacturing systems, Design, Materials handling, Plant layout

Journal Articles

Statistical Classification of Spectral Data for Laser Weld Quality Monitoring

Afsar Ali, Postdoctoral Researcher, Dave Farson, Assistant Professor

Publisher: ASME

J. Manuf. Sci. Eng. May 2002, 124(2): 323–325.

https://doi.org/10.1115/1.1455028

Published Online: April 29, 2002

View Article titled, Statistical Classification of Spectral Data for Laser Weld Quality Monitoring

Topics: Acoustics, Electromagnetic spectrum, Lasers, Plasmas (Ionized gases), Reliability, Sensors, Signal processing, Signals, Spectra (Spectroscopy), Welded joints

Journal Articles

Sensor Optimization for Fault Diagnosis in Single Fixture Systems: A Methodology

A. Khan, D. Ceglarek, J. Shi, J. Ni, T. C. Woo

Publisher: ASME

J. Manuf. Sci. Eng. February 1999, 121(1): 109–117.

https://doi.org/10.1115/1.2830562

Published Online: February 1, 1999

View Article titled, Sensor Optimization for Fault Diagnosis in Single Fixture Systems: A Methodology

Topics: Fault diagnosis, Optimization, Sensors, Design, Errors, Manufacturing, Automobiles, Fixturing, Pattern recognition

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 Articles

Automated Monitoring of Manufacturing Processes, Part 1: Monitoring Methods

R. Du, M. A. Elbestawi, S. M. Wu

Publisher: ASME

J. Manuf. Sci. Eng. May 1995, 117(2): 121–132.

https://doi.org/10.1115/1.2803286

Published Online: May 1, 1995

View Article titled, Automated Monitoring of Manufacturing Processes, Part 1: Monitoring Methods

Topics: Manufacturing, Artificial neural networks, Emission spectroscopy, Expert systems, Fuzzy logic, Modeling, Pattern recognition, Sensors, Signal processing, Signals

Journal Articles

Tool Wear Monitoring in Diamond Turning by Fuzzy Pattern Recognition

Tae Jo Ko, Dong Woo Cho

Publisher: ASME

J. Manuf. Sci. Eng. May 1994, 116(2): 225–232.

https://doi.org/10.1115/1.2901934

Published Online: May 1, 1994

View Article titled, Tool Wear Monitoring in Diamond Turning by Fuzzy Pattern Recognition

Topics: Diamond turning, Pattern recognition, Wear, Diamond tools, Cutting, Ambiguity, Crystals, Machining, Modeling, Signals

Journal Articles

A Failure Isolation Strategy for Thermofluid System Diagnostics

J. Wagner, R. Shoureshi

Publisher: ASME

J. Manuf. Sci. Eng. November 1993, 115(4): 459–465.

https://doi.org/10.1115/1.2901790

Published Online: November 1, 1993

View Article titled, A Failure Isolation Strategy for Thermofluid System Diagnostics

Topics: Failure, Thermofluids, Control theory, Dynamic modeling, Failure mechanisms, Heat pumps, Maintenance, Modeling, Pattern recognition, Reliability

Journal Articles

Knowledge-Based Expert System for Ballscrew Grinding

S. B. Billatos, J. A. Webster

Publisher: ASME

J. Manuf. Sci. Eng. May 1993, 115(2): 230–235.

https://doi.org/10.1115/1.2901654

Published Online: May 1, 1993

View Article titled, Knowledge-Based Expert System for Ballscrew Grinding

Topics: Expert systems, Grinding, Cycles, Design, Machinery, Machining, Optimization, Pattern recognition, Shapes, Stepper motors

Journal Articles

A New Approach to Automatic Detection of Life of Coated Tool Based on Acoustic Emission Measurement

T. Moriwaki, M. Tobito

Publisher: ASME

J. Manuf. Sci. Eng. August 1990, 112(3): 212–218.

https://doi.org/10.1115/1.2899577

Published Online: August 1, 1990

View Article titled, A New Approach to Automatic Detection of Life of Coated Tool Based on Acoustic Emission Measurement

Topics: Acoustic emission testing, Acoustic emissions, Carbon steel, Ceramic coatings, Cutting, Pattern recognition, Signals, Wear

Journal Articles

On-Line Detection of Localized Defects in Bearings by Pattern Recognition Analysis

C. James Li, S. M. Wu

Publisher: ASME

J. Manuf. Sci. Eng. November 1989, 111(4): 331–336.

https://doi.org/10.1115/1.3188768

Published Online: November 1, 1989

View Article titled, On-Line Detection of Localized Defects in Bearings by Pattern Recognition Analysis

Topics: Bearings, Pattern recognition, Fault diagnosis, Flaw detection, Rollers, Signal processing, Signals, Vibration

Journal Articles

Monitoring Drilling Wear States by a Fuzzy Pattern Recognition Technique

P. G. Li, S. M. Wu

Publisher: ASME

J. Manuf. Sci. Eng. August 1988, 110(3): 297–300.

https://doi.org/10.1115/1.3187884

Published Online: August 1, 1988

View Article titled, Monitoring Drilling Wear States by a Fuzzy Pattern Recognition Technique

Topics: Drilling, Pattern recognition, Wear, Drills (Tools), Algorithms, Simulation results

Journal Articles

Tool Failure Monitoring in Turning by Pattern Recognition Analysis of AE Signals

E. Emel, E. Kannatey-Asibu, Jr.

Publisher: ASME

J. Manuf. Sci. Eng. May 1988, 110(2): 137–145.

https://doi.org/10.1115/1.3187862

Published Online: May 1, 1988

View Article titled, Tool Failure Monitoring in Turning by Pattern Recognition Analysis of AE Signals

Topics: Failure, Pattern recognition, Signals, Turning, Fracture (Materials), Fracture (Process), Wear, Acoustic emissions, Design, Errors

Journal Articles

Surface Texture and Machining Conditions. Part 2: Development of Mathematical Model Based Upon Pattern Recognition

A. Villa, G. Murari, R. Levi

Publisher: ASME

J. Manuf. Sci. Eng. November 1983, 105(4): 264–269.

https://doi.org/10.1115/1.3185897

Published Online: November 1, 1983

View Article titled, Surface Texture and Machining Conditions. Part 2: Development of Mathematical Model Based Upon Pattern Recognition

Topics: Machining, Pattern recognition, Surface texture, Algorithms, Construction, Milling

Journal Articles

Control Methods for a Hot Steel Rolling Mill: An Application of Learning Theory and Pattern Recognition

A. A. Desrochers, G. N. Saridis

Publisher: ASME

J. Manuf. Sci. Eng. May 1980, 102(2): 118–122.

https://doi.org/10.1115/1.3183842

Published Online: May 1, 1980

View Article titled, Control Methods for a Hot Steel Rolling Mill: An Application of Learning Theory and Pattern Recognition

Topics: Pattern recognition, Rolling mills, Steel, Finishing, Control equipment, Feedback, Feedforward control, Force control, Gages, Strips

Journal citation

NARROW

Dual-Metric Neural Network With Attention Guidance for Surface Defect Few-Shot Detection in Smart Manufacturing

Evaluating the Potential for Remote In-Process Monitoring of Tool Wear in Friction Stir Welding of Stainless Steel

Tool Wear Monitoring and Alarm System Based on Pattern Recognition With Logical Analysis of Data

A Pattern Recognition Approach for Manufacturing Facility Compaction by Machining Function Combination Using Flexible Manufacturing Modules

Statistical Classification of Spectral Data for Laser Weld Quality Monitoring

Sensor Optimization for Fault Diagnosis in Single Fixture Systems: A Methodology

Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition

Automated Monitoring of Manufacturing Processes, Part 1: Monitoring Methods

Tool Wear Monitoring in Diamond Turning by Fuzzy Pattern Recognition

A Failure Isolation Strategy for Thermofluid System Diagnostics

Knowledge-Based Expert System for Ballscrew Grinding

A New Approach to Automatic Detection of Life of Coated Tool Based on Acoustic Emission Measurement

On-Line Detection of Localized Defects in Bearings by Pattern Recognition Analysis

Monitoring Drilling Wear States by a Fuzzy Pattern Recognition Technique

Tool Failure Monitoring in Turning by Pattern Recognition Analysis of AE Signals

Surface Texture and Machining Conditions. Part 2: Development of Mathematical Model Based Upon Pattern Recognition

Control Methods for a Hot Steel Rolling Mill: An Application of Learning Theory and Pattern Recognition

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