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Proceedings Papers

Hazard Management Plan for Mass Transit System

James Li, Andrew Howard, Amin Kalbasi
Proc. ASME. JRC2022, 2022 Joint Rail Conference, V001T04A001, April 20–21, 2022
Paper No: JRC2022-78000
DOI: https://doi.org/10.1115/JRC2022-78000
View Paper titled, Hazard Management Plan for Mass Transit System
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Topics: Failure mode and effects analysis, Hazards, Public transportation
Proceedings Papers

Recurrent Neural Networks for Fault Diagnosis and Severity Assessment of a Screw Compressor

C. James Li, Yimin Fan
Proc. ASME. IMECE97, Dynamic Systems and Control, 257-264, November 16–21, 1997
Paper No: IMECE1997-0404
DOI: https://doi.org/10.1115/IMECE1997-0404
View Paper titled, Recurrent Neural Networks for Fault Diagnosis and Severity Assessment of a Screw Compressor
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Topics: Artificial neural networks, Compressors, Fault diagnosis, Screws, Feedforward control, Friction, Neural network models, Wear
Proceedings Papers

Automatic Structure and Parameter Training Methods for Modeling of Mechanical System by Recurrent Neural Networks

C. James Li, T. Y. Huang
Proc. ASME. IMECE97, Dynamic Systems and Control, 241-249, November 16–21, 1997
Paper No: IMECE1997-0402
DOI: https://doi.org/10.1115/IMECE1997-0402
View Paper titled, Automatic Structure and Parameter Training Methods for Modeling of Mechanical System by Recurrent Neural Networks
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Topics: Artificial neural networks, Modeling, Weight (Mass), Algorithms, Robots, Automatic control, Engineering disciplines, Excitation, Glass, Nonlinear systems
Proceedings Papers

Nonlinear System Identification by Automatic Localized Modeling

C. James Li, Tung-Yung Huang
Proc. ASME. IMECE98, Dynamic Systems and Control, 51-62, November 15–20, 1998
Paper No: IMECE1998-0233
DOI: https://doi.org/10.1115/IMECE1998-0233
View Paper titled, Nonlinear System Identification by Automatic Localized Modeling
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Topics: Modeling, Nonlinear systems, Algorithms, Artificial neural networks, Finite element methods, Mesh generation, Pendulums
Proceedings Papers

Multi-Milling-Insert Wear Assessment Using Nonlinear Virtual Sensor, Time-Frequency Distribution and Neural Networks

C. James Li, Tzong-Chyi Tzeng
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 539-545, November 15–20, 1998
Paper No: IMECE1998-1067
DOI: https://doi.org/10.1115/IMECE1998-1067
View Paper titled, Multi-Milling-Insert Wear Assessment Using Nonlinear Virtual Sensor, Time-Frequency Distribution and Neural Networks
Click here to open pdf in another window PDF for Multi-Milling-Insert Wear Assessment Using Nonlinear Virtual Sensor, Time-Frequency Distribution and Neural Networks
Topics: Artificial neural networks, Milling, Sensors, Wear, Vibration, Cutting, Electromagnetic scattering, Milling machines, Radiation scattering, Scattering (Physics)
Proceedings Papers

Nonlinear System Identification Using Lumped Parameter Models With Embedded Feedforward Neural Networks

Yimin Fan, C. James Li
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 579-587, November 15–20, 1998
Paper No: IMECE1998-1071
DOI: https://doi.org/10.1115/IMECE1998-1071
View Paper titled, Nonlinear System Identification Using Lumped Parameter Models With Embedded Feedforward Neural Networks
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Topics: Artificial neural networks, Feedforward control, Lumped parameter models, Nonlinear systems, Algorithms, Trains
Proceedings Papers

Monitoring of Localized Gear Faults by Linear Dynamic Modeling

C. James Li, J. D. Limmer
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 69-75, November 15–20, 1998
Paper No: IMECE1998-1017
DOI: https://doi.org/10.1115/IMECE1998-1017
View Paper titled, Monitoring of Localized Gear Faults by Linear Dynamic Modeling
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Topics: Dynamic modeling, Gears, Errors, Fatigue cracks, Vibration, Gear teeth, Signals, Stiffness
Proceedings Papers

A Hybrid Model for Piezo Actuators

Dongwoo Song, C. James Li
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 45-51, November 15–20, 1998
Paper No: IMECE1998-1014
DOI: https://doi.org/10.1115/IMECE1998-1014
View Paper titled, A Hybrid Model for Piezo Actuators
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Topics: Artificial neural networks, Calibration, Interpolation, Machining, Piezoelectric actuators
Proceedings Papers

Piezo Actuator Hybrid Modeling for Nonlinear Inverse Control in Diamond Turning

Dongwoo Song, C. James Li
Proc. ASME. IMECE99, Manufacturing Science and Engineering, 613-620, November 14–19, 1999
Paper No: IMECE1999-0722
DOI: https://doi.org/10.1115/IMECE1999-0722
View Paper titled, Piezo Actuator Hybrid Modeling for Nonlinear Inverse Control in Diamond Turning
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Topics: Diamond turning, Modeling, Piezoelectric actuators, Artificial neural networks, Control equipment, Cutting, Dynamics (Mechanics), Feedback, Feedforward control, Springs
Proceedings Papers

Diagnosis and Diagnostic Rule Extraction Using Fuzzy Neural Network

C. James Li, Chong-suhk Lee, Sun’an Wang
Proc. ASME. IMECE2001, Dynamic Systems and Control, 49-56, November 11–16, 2001
Paper No: IMECE2001/DSC-24506
DOI: https://doi.org/10.1115/IMECE2001/DSC-24506
View Paper titled, Diagnosis and Diagnostic Rule Extraction Using Fuzzy Neural Network
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Topics: Fuzzy neural nets, Algorithms
Proceedings Papers

Gear Fatigue Crack Size Estimation Using Embedded Modeling

C. James Li, Hyungdae Lee, Suk Hwan Choi
Proc. ASME. IMECE2001, Dynamic Systems and Control, 565-572, November 11–16, 2001
Paper No: IMECE2001/DSC-24570
DOI: https://doi.org/10.1115/IMECE2001/DSC-24570
View Paper titled, Gear Fatigue Crack Size Estimation Using Embedded Modeling
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Topics: Errors, Fatigue cracks, Fracture (Materials), Gears, Modeling, Stiffness
Proceedings Papers

Robust Control of Piezo Actuator for Active Error Compensation in Diamond Turning

Jianming Yu, C. James Li
Proc. ASME. IMECE2000, Manufacturing Engineering, 185-193, November 5–10, 2000
Paper No: IMECE2000-1806
DOI: https://doi.org/10.1115/IMECE2000-1806
View Paper titled, Robust Control of Piezo Actuator for Active Error Compensation in Diamond Turning
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Topics: Diamond turning, Error compensation, Piezoelectric actuators, Robust control, Errors, Control equipment, Aluminum alloys, Cutting, Disks, Geometry
Proceedings Papers

Optimum Error Separation Technique for In-Situ Straightness Measurement in Diamond Turning

Jianming Yu, C. James Li
Proc. ASME. IMECE2000, Manufacturing Engineering, 177-184, November 5–10, 2000
Paper No: IMECE2000-1805
DOI: https://doi.org/10.1115/IMECE2000-1805
View Paper titled, Optimum Error Separation Technique for In-Situ Straightness Measurement in Diamond Turning
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Topics: Diamond turning, Errors, Separation (Technology), Machine tools, Metrology
Proceedings Papers

Safety Integrity Level (SIL) Allocation on Monorail Rolling Stock

James Li
Proc. ASME. JRC2021, 2021 Joint Rail Conference, V001T06A001, April 20–21, 2021
Paper No: JRC2021-58223
DOI: https://doi.org/10.1115/JRC2021-58223
View Paper titled, Safety Integrity Level (SIL) Allocation on Monorail Rolling Stock
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Topics: Risk analysis, Safety
Proceedings Papers

Fuel Cell Condition Assessment Using Transient and Standard Polarization Curves

C. James Li, Alex Chien
Proc. ASME. MSEC2006, Manufacturing Science and Engineering, Parts A and B, 779-785, October 8–11, 2006
Paper No: MSEC2006-21091
DOI: https://doi.org/10.1115/MSEC2006-21091
View Paper titled, Fuel Cell Condition Assessment Using Transient and Standard Polarization Curves
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Topics: Fuel cells, Polarization (Electricity), Polarization (Light), Polarization (Waves), Transients (Dynamics)
Proceedings Papers

Model Based PEM Fuel Cell Health Monitoring

C. James Li
Proc. ASME. MSEC2006, Manufacturing Science and Engineering, Parts A and B, 787-792, October 8–11, 2006
Paper No: MSEC2006-21092
DOI: https://doi.org/10.1115/MSEC2006-21092
View Paper titled, Model Based PEM Fuel Cell Health Monitoring
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Topics: Fuel cells, Membranes, Nonlinear programming, Proton exchange membrane fuel cells, Simulation, Trajectories (Physics)
Proceedings Papers

Utility of Projection Network for Diagnosis of High Pressure Air Compressor Faults

C. Jansuwan, C. James Li
Proc. ASME. IMECE2003, Manufacturing, 155-159, November 15–21, 2003
Paper No: IMECE2003-43505
DOI: https://doi.org/10.1115/IMECE2003-43505
View Paper titled, Utility of Projection Network for Diagnosis of High Pressure Air Compressor Faults
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Topics: Air compressors, High pressure (Physics), Artificial neural networks, Cylinders, Exhaust systems, Suction, Temperature, Testing
Proceedings Papers

Rotor Transverse Crack Detection and Diagnosis Using Embedded Modeling

Kristoffer K. McKee, C. James Li
Proc. ASME. IMECE2003, Manufacturing, 149-154, November 15–21, 2003
Paper No: IMECE2003-43504
DOI: https://doi.org/10.1115/IMECE2003-43504
View Paper titled, Rotor Transverse Crack Detection and Diagnosis Using Embedded Modeling
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Topics: Crack detection, Fracture (Materials), Modeling, Rotors
Proceedings Papers

Tracking Bearing Spall Severity Through Inverse Modeling

C. James Li, Hyeongceol Shin
Proc. ASME. IMECE2004, Manufacturing Engineering and Materials Handling Engineering, 49-54, November 13–19, 2004
Paper No: IMECE2004-60851
DOI: https://doi.org/10.1115/IMECE2004-60851
View Paper titled, Tracking Bearing Spall Severity Through Inverse Modeling
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Topics: Bearings, Dynamic models, Modeling
Proceedings Papers

Fatigue Crack Size Estimation From Vibration Induced Acoustic Signals Using Chirp Z-Transform and Neural Net

C. James Li, Jun-Hee Lee
Proc. ASME. IMECE2004, Manufacturing Engineering and Materials Handling Engineering, 691-696, November 13–19, 2004
Paper No: IMECE2004-61197
DOI: https://doi.org/10.1115/IMECE2004-61197
View Paper titled, Fatigue Crack Size Estimation From Vibration Induced Acoustic Signals Using Chirp Z-Transform and Neural Net
Click here to open pdf in another window PDF for Fatigue Crack Size Estimation From Vibration Induced Acoustic Signals Using Chirp Z-Transform and Neural Net
Topics: Acoustics, Artificial neural networks, Fatigue cracks, Fracture (Materials), Signals, Vibration