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Proceedings Papers

A Novel Quality Clustering Methodology on Fab-Wide Wafer Map Images in Semiconductor Manufacturing

Yuan-Ming Hsu, Xiaodong Jia, Wenzhe Li, Jay Lee

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A022, June 27–July 1, 2022

Paper No: MSEC2022-85670

DOI: https://doi.org/10.1115/MSEC2022-85670

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Topics: Integrated circuit fabrication, Semiconductor wafers, Topology, Biomedicine, Manufacturing, Semiconductors (Materials), Visualization

Proceedings Papers

Manufacturing Engineering Education Through Industry/University Cooperative Research: Issues, Challenges, and Strategies

Jay Lee

Proc. ASME. IMECE97, Manufacturing Science and Engineering: Volume 1, 465-469, November 16–21, 1997

Paper No: IMECE1997-1125

DOI: https://doi.org/10.1115/IMECE1997-1125

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Topics: Education, Manufacturing engineering, Manufacturing, Collaboration, Engineers, Innovation

Proceedings Papers

Machine Fault Diagnosis Through a Recursive Optimal Pairwise Linear Discriminant Function Method

Shuxin Gu, Jun Ni, Jingxia Yuan, Jay Lee

Proc. ASME. IMECE98, Manufacturing Science and Engineering, 547-554, November 15–20, 1998

Paper No: IMECE1998-1068

DOI: https://doi.org/10.1115/IMECE1998-1068

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Topics: Fault diagnosis, Machinery, Pattern recognition, Artificial neural networks, Failure, Feedforward control

Proceedings Papers

Integration Methodology for Implementing a Teleservice Engineering System

Jay Lee, John Tsai

Proc. ASME. IMECE98, Manufacturing Science and Engineering, 61-67, November 15–20, 1998

Paper No: IMECE1998-1016

DOI: https://doi.org/10.1115/IMECE1998-1016

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Topics: Engineering systems and industry applications, Maintenance, Machinery, Manufacturing, Manufacturing systems, Materials handling, Reliability, Safety, Storage

Proceedings Papers

Collaborative Platform for Remote Manufacturing Systems Using Industrial Internet and Digital Twin in the COVID-19 Era

Jay Lee, Xiaodong Jia, Qibo Yang, Keyi Sun, Xiang Li

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A018, June 21–25, 2021

Paper No: MSEC2021-64237

DOI: https://doi.org/10.1115/MSEC2021-64237

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Topics: Internet, Manufacturing, Manufacturing systems

Journal Articles

Intelligent Maintenance Systems and Predictive Manufacturing

Jay Lee, Jun Ni, Jaskaran Singh, Baoyang Jiang, Moslem Azamfar, Jianshe Feng

J. Manuf. Sci. Eng. November 2020, 142(11): 110805.

Paper No: MANU-20-1084

DOI: https://doi.org/10.1115/1.4047856

Published Online: August 18, 2020

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Topics: Machinery, Maintenance, Manufacturing, Manufacturing systems, Sensors

Proceedings Papers

A Stochastic Asset Life Prediction Method for Large Fleet Datasets in Big Data Environment

Behrad Bagheri, David Siegel, Wenyu Zhao, Jay Lee

Proc. ASME. IMECE2015, Volume 14: Emerging Technologies; Safety Engineering and Risk Analysis; Materials: Genetics to Structures, V014T06A010, November 13–19, 2015

Paper No: IMECE2015-52458

DOI: https://doi.org/10.1115/IMECE2015-52458

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Topics: Algorithms, Engineering systems and industry applications, Evaluation methods, Failure, Feature selection, Filtration, Gas turbines, Physics, Preventive actions, Service life (Equipment)

Journal Articles

A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems

Shanhu Yang, Behrad Bagheri, Hung-An Kao, Jay Lee

J. Manuf. Sci. Eng. August 2015, 137(4): 040914.

Paper No: MANU-14-1524

DOI: https://doi.org/10.1115/1.4030669

Published Online: August 1, 2015

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Topics: Machinery, Algorithms, Feature extraction, Manufacturing systems, Design, Machining

Proceedings Papers

Methodology for Ball Screw Component Health Assessment and Failure Analysis

Wenjing Jin, Yan Chen, Jay Lee

Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T02A031, June 10–14, 2013

Paper No: MSEC2013-1252

DOI: https://doi.org/10.1115/MSEC2013-1252

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Topics: Failure, Failure analysis, Screws

Journal Articles

Ensemble Empirical Mode Decomposition-Based Teager Energy Spectrum for Bearing Fault Diagnosis

Zhipeng Feng, Ming J. Zuo, Rujiang Hao, Fulei Chu, Jay Lee

J. Vib. Acoust. June 2013, 135(3): 031013.

Paper No: VIB-11-1258

DOI: https://doi.org/10.1115/1.4023814

Published Online: April 24, 2013

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Topics: Bearings, Damage, Signals, Vibration, Impulse (Physics)

Proceedings Papers

Smart Machine Health and Maintenance: Tool Assembly Prognostics

Edzel R. Lapira, Amit Deshpande, Jay Lee, John Snyder

Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2, 75-83, October 7–10, 2008

Paper No: MSEC_ICM&P2008-72314

DOI: https://doi.org/10.1115/MSEC_ICMP2008-72314

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Topics: Machinery, Maintenance, Manufacturing, Machining, Algorithms, Bearings, Cycles, Manufacturing industry, Stress, Vibration

Proceedings Papers

A New Method for Feature Selection and Gear Defect Detection

Yan Chen, Haixia Wang, Jay Lee

Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 483-487, October 15–18, 2007

Paper No: MSEC2007-31091

DOI: https://doi.org/10.1115/MSEC2007-31091

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Topics: Feature selection, Flaw detection, Gears, Entropy, Noise (Sound), Self-organization

Proceedings Papers

Engine Health Assessment and Prediction Using the Group Method of Data Handling and the Method of Match Matrix: Autoregressive Moving Average

Haixia Wang, Jay Lee, Takahiro Ueda, Kondo H. Adjallah, Masoud Ghaffari

Proc. ASME. GT2007, Volume 1: Turbo Expo 2007, 697-702, May 14–17, 2007

Paper No: GT2007-27672

DOI: https://doi.org/10.1115/GT2007-27672

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Topics: Engines

Proceedings Papers

A Predictive Tool for Remaining Useful Life Estimation of Rotating Machinery Components

Haitao Liao, Hai Qiu, Jay Lee, Daming Lin, Dragan Banjevic, Andrew Jardine

Proc. ASME. IDETC-CIE2005, Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C, 509-515, September 24–28, 2005

Paper No: DETC2005-84095

DOI: https://doi.org/10.1115/DETC2005-84095

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Topics: Machine components, Service life (Equipment), Bearings, Failure, Hazards

Proceedings Papers

Degradation Assessment for Machinery Prognostics Using Hidden Markov Models

Hai Qiu, Haitao Liao, Jay Lee

Proc. ASME. IDETC-CIE2005, Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C, 531-537, September 24–28, 2005

Paper No: DETC2005-84193

DOI: https://doi.org/10.1115/DETC2005-84193

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Topics: Machinery, Modeling, Signals

Proceedings Papers

Time-Frequency Based Sensor Fusion in the Assessment and Monitoring of Machine Performance Degradation

Dragan Djurdjanovic, Jun Ni, Jay Lee

Proc. ASME. IMECE2002, Dynamic Systems and Control, 15-22, November 17–22, 2002

Paper No: IMECE2002-32032

DOI: https://doi.org/10.1115/IMECE2002-32032

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Topics: Equipment performance, Sensors, Machinery, Failure, Signals, Wear, Computer numerical control machine tools, Manufacturing, Reliability

Proceedings Papers

Intelligent Detection of Boring Tool Conditions

Tien-I. Liu, Akihiko Kumagai, Shin-Da Song, Zhenwen Fu, Yann-Chiu Wang, Jay Lee

Proc. ASME. IMECE2003, Manufacturing, 301-307, November 15–21, 2003

Paper No: IMECE2003-42347

DOI: https://doi.org/10.1115/IMECE2003-42347

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Topics: Algorithms, Cutting, Errors, Feature selection, Fuzzy neural nets, Signals, Titanium, Virtual instrumentation, Wear

Proceedings Papers

Performance Similarity Based Method for Enhanced Prediction of Manufacturing Process Performance

Jianbo Liu, Dragan Djurdjanovic, Jun Ni, Jay Lee

Proc. ASME. IMECE2004, Manufacturing Engineering and Materials Handling Engineering, 65-72, November 13–19, 2004

Paper No: IMECE2004-62246

DOI: https://doi.org/10.1115/IMECE2004-62246

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Topics: Failure, Maintenance, Manufacturing, Probability, Modeling, Production equipment, Service life (Equipment), Time series

Proceedings Papers

Smith Predictor Position Control for the Inlet Guide Vane of Centrifugal Air Compressors

Angela Sodemann, Yaoyu Li, Xin Wu, Rick Lancaster, Mark Rucker, Jeff Carnagie, Andy Inman, Jay Lee

Proc. ASME. IMECE2006, Dynamic Systems and Control, Parts A and B, 605-610, November 5–10, 2006

Paper No: IMECE2006-13101

DOI: https://doi.org/10.1115/IMECE2006-13101

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Topics: Air compressors, Delays, Inlet guide vanes, Position control

Journal Articles

Maintenance Priority Assignment Utilizing On-line Production Information

Zimin Yang, Qing Chang, Dragan Djurdjanovic, Jun Ni, Jay Lee

J. Manuf. Sci. Eng. April 2007, 129(2): 435–446.

DOI: https://doi.org/10.1115/1.2336257

Published Online: March 24, 2006

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Topics: Maintenance, Optimization

Journal citation

NARROW

A Novel Quality Clustering Methodology on Fab-Wide Wafer Map Images in Semiconductor Manufacturing

Manufacturing Engineering Education Through Industry/University Cooperative Research: Issues, Challenges, and Strategies

Machine Fault Diagnosis Through a Recursive Optimal Pairwise Linear Discriminant Function Method

Integration Methodology for Implementing a Teleservice Engineering System

Collaborative Platform for Remote Manufacturing Systems Using Industrial Internet and Digital Twin in the COVID-19 Era

Intelligent Maintenance Systems and Predictive Manufacturing

A Stochastic Asset Life Prediction Method for Large Fleet Datasets in Big Data Environment

A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems

Methodology for Ball Screw Component Health Assessment and Failure Analysis

Ensemble Empirical Mode Decomposition-Based Teager Energy Spectrum for Bearing Fault Diagnosis

Smart Machine Health and Maintenance: Tool Assembly Prognostics

A New Method for Feature Selection and Gear Defect Detection

Engine Health Assessment and Prediction Using the Group Method of Data Handling and the Method of Match Matrix: Autoregressive Moving Average

A Predictive Tool for Remaining Useful Life Estimation of Rotating Machinery Components

Degradation Assessment for Machinery Prognostics Using Hidden Markov Models

Time-Frequency Based Sensor Fusion in the Assessment and Monitoring of Machine Performance Degradation

Intelligent Detection of Boring Tool Conditions

Performance Similarity Based Method for Enhanced Prediction of Manufacturing Process Performance

Smith Predictor Position Control for the Inlet Guide Vane of Centrifugal Air Compressors

Maintenance Priority Assignment Utilizing On-line Production Information

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