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Journal Articles

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Joseph Cohen, Baoyang Jiang, Jun Ni

J. Manuf. Sci. Eng. July 2022, 144(7): 071006.

Paper No: MANU-21-1315

DOI: https://doi.org/10.1115/1.4052762

Published Online: December 8, 2021

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Topics: Fault diagnosis, Machine learning, Signals, Synchronization, Failure, Manufacturing systems, Programmable controllers, Delays

Proceedings Papers

Investigation of Circuit Parameters in Tube Electrode High-Speed Electrochemical Discharge Machining

Yan Zhang, Islam Md. Rashedul, Lei Ji, Baoyang Jiang

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A023, September 3, 2020

Paper No: MSEC2020-8417

DOI: https://doi.org/10.1115/MSEC2020-8417

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Topics: Circuits, Electrical discharge machining, Electrodes, Machining

Proceedings Papers

Fault Diagnosis of Timed Event Systems: An Exploration of Machine Learning Methods

Joseph Cohen, Baoyang Jiang, Jun Ni

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A029, September 3, 2020

Paper No: MSEC2020-8360

DOI: https://doi.org/10.1115/MSEC2020-8360

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Topics: Fault diagnosis, Machine learning, Principal component analysis, Programmable controllers, Algorithms, Signals, Artificial neural networks, Failure, Integrated circuit fabrication, Manufacturing

Proceedings Papers

High Precision Tracking of Roll-to-Roll Manufacturing Processes

Zhiyi Chen, Baoyang Jiang, Jun Ni

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A030, September 3, 2020

Paper No: MSEC2020-8392

DOI: https://doi.org/10.1115/MSEC2020-8392

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Topics: Control equipment, Manufacturing, Predictive control, Quadratic programming, Robustness, Rollers, Simulation, Stability, Tension, Uncertainty

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

Journal Articles

Three-Dimensional Inner Surface Inspection System Based on Circle-Structured Light

Zhu Ye, Wang Lianpo, Gu Yonggang, Bi Songlin, Zhai Chao, Baoyang Jiang, Jun Ni

J. Manuf. Sci. Eng. December 2018, 140(12): 121007.

Paper No: MANU-17-1779

DOI: https://doi.org/10.1115/1.4041480

Published Online: October 5, 2018

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Topics: Algorithms, Calibration, Errors, Inspection, Lasers, Manufacturing, Measurement systems, Gages, Resolution (Optics), Refraction

Proceedings Papers

A Laser Triangulation-Based 3D Measurement System for Inner Surface of Deep Holes

Zhu Ye, Wang Lianpo, Yonggang Gu, Zhai Chao, Baoyang Jiang, Jun Ni

Proc. ASME. MSEC2018, Volume 4: Processes, V004T03A070, June 18–22, 2018

Paper No: MSEC2018-6453

DOI: https://doi.org/10.1115/MSEC2018-6453

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Topics: Lasers, Measurement systems, Errors, Calibration, Gages, Inspection, Manufacturing, Refraction

Proceedings Papers

Micro-Machining of Glass Using Electrochemical Discharge Assisted Cutting

Baoyang Jiang, Jun Ni

Proc. ASME. MSEC2016, Volume 1: Processing, V001T02A033, June 27–July 1, 2016

Paper No: MSEC2016-8759

DOI: https://doi.org/10.1115/MSEC2016-8759

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Topics: Cutting, Glass, Micromachining, Machining, Electrical discharge machining, Machinery

Proceedings Papers

On Modeling and Simulation of the Discharging Activity in Electrochemical Discharge Machining

Baoyang Jiang, Shuhuai Lan, Jun Ni

Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A050, June 8–12, 2015

Paper No: MSEC2015-9456

DOI: https://doi.org/10.1115/MSEC2015-9456

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Topics: Electrical discharge machining, Modeling, Simulation, Machining, Brittleness, Electrodes, Machinery, Numerical analysis, Optimization, Thermal properties

Proceedings Papers

Experimental Investigation of Drilling Incorporated Electrochemical Discharge Machining

Baoyang Jiang, Shuhuai Lan, Jun Ni

Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A056, June 9–13, 2014

Paper No: MSEC2014-4054

DOI: https://doi.org/10.1115/MSEC2014-4054

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Topics: Drilling, Electrical discharge machining, Machining, Vibration, Brittleness, Electrodes, Micromachining, Performance, Piezoelectric actuators

Journal citation

NARROW

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Investigation of Circuit Parameters in Tube Electrode High-Speed Electrochemical Discharge Machining

Fault Diagnosis of Timed Event Systems: An Exploration of Machine Learning Methods

High Precision Tracking of Roll-to-Roll Manufacturing Processes

Intelligent Maintenance Systems and Predictive Manufacturing

Three-Dimensional Inner Surface Inspection System Based on Circle-Structured Light

A Laser Triangulation-Based 3D Measurement System for Inner Surface of Deep Holes

Micro-Machining of Glass Using Electrochemical Discharge Assisted Cutting

On Modeling and Simulation of the Discharging Activity in Electrochemical Discharge Machining

Experimental Investigation of Drilling Incorporated Electrochemical Discharge Machining

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