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Proceedings Papers

Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing

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Zhe Gao, Weihong Guo, Jingjing Li
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A011, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6507
https://doi.org/10.1115/MSEC2018-6507
View Paper titled, Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing
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Topics: Friction, Manufacturing, Riveting, Sensors, Feature extraction, Joining, Process monitoring, Aluminum alloys, Carbon, Feature selection
Proceedings Papers

Feature Selection for Helicopter Swashplate Bearing Fault Diagnosis

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Yong Wang, Lin Li
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A058, June 4–8, 2017
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2017-2643
https://doi.org/10.1115/MSEC2017-2643
View Paper titled, Feature Selection for Helicopter Swashplate Bearing Fault Diagnosis
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Topics: Bearings, Fault diagnosis, Feature selection, Ball bearings, Algorithms, Condition monitoring, Feature extraction, Maintenance, Quality control, Signals
Proceedings Papers

Heuristic Feature Selection for Shaving Tool Wear Classification

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Yong Wang, Adam J. Brzezinski, Xianli Qiao, Jun Ni
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A040, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8547
https://doi.org/10.1115/MSEC2016-8547
View Paper titled, Heuristic Feature Selection for Shaving Tool Wear Classification
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Topics: Feature selection, Wear, Accelerometers, Condition monitoring, Feature extraction, Machinery, Signals
Proceedings Papers

Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes

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S. Shawn Lee, Chenhui Shao, Tae Hyung Kim, S. Jack Hu, Elijah Kannatey-Asibu, Wayne W. Cai, J. Patrick Spicer, Jeffrey A. Abell
Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A002, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-4139
https://doi.org/10.1115/MSEC2014-4139
View Paper titled, Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes
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Topics: Metals, Sensors, Signals, Welding, Ultrasonic welding, Manufacturing, Algorithms, Batteries, Density, Displacement
Proceedings Papers

Development of Sound Based Tool Wear Monitoring System in Micro-Milling

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Ming-Hsing Lee, Ming-Chyuan Lu, Jhy-Cherng Tsai
Proc. ASME. MSEC2010, ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1, 427-434, October 12–15, 2010
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2010-34240
https://doi.org/10.1115/MSEC2010-34240
View Paper titled, Development of Sound Based Tool Wear Monitoring System in Micro-Milling
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Topics: Micromilling, Monitoring systems, Wear, Signals, Condition monitoring, Cutting, Design, Electromagnetic scattering, Feature selection, Microphones
Proceedings Papers

Acoustic Emission Condition Monitoring of the Coroning Process

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Juil Yum, Amir Kamouneh, Wencai Wang, Elijah Kannatey-Asibu, Jr.
Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 157-163, October 4–7, 2009
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2009-84370
https://doi.org/10.1115/MSEC2009-84370
View Paper titled, Acoustic Emission Condition Monitoring of the Coroning Process
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Topics: Acoustic emissions, Condition monitoring, Electromagnetic scattering, Errors, Failure, Feature selection, Signals
Proceedings Papers

A New Method for Feature Selection and Gear Defect Detection

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Yan Chen, Haixia Wang, Jay Lee
Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 483-487, October 15–18, 2007
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2007-31091
https://doi.org/10.1115/MSEC2007-31091
View Paper titled, A New Method for Feature Selection and Gear Defect Detection
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Topics: Feature selection, Flaw detection, Gears, Entropy, Noise (Sound), Self-organization