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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

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Topics: Artificial neural networks, Compressors, Fault diagnosis, Screws, Feedforward control, Friction, Neural network models, Wear

Proceedings Papers

Neural Network Model of the Voluntary Arm Forces During FES Assisted Standing-up in Paraplegia

Rahman Davoodi, Brian J. Andrews, Roman Kamnik, Tadej Bajd

Proc. ASME. IMECE98, Dynamic Systems and Control, 585-592, November 15–20, 1998

Paper No: IMECE1998-0305

DOI: https://doi.org/10.1115/IMECE1998-0305

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Topics: Neural network models

Proceedings Papers

Design Depowered Airbag Mass Flow Rate by Using Occupant Simulation Models and Neural Network

D. S. Liu, S. Y. Chang

Proc. ASME. IMECE98, Crashworthiness, Occupant Protection and Biomechanics in Transportation Systems, 141-148, November 15–20, 1998

Paper No: IMECE1998-0973

DOI: https://doi.org/10.1115/IMECE1998-0973

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Topics: Airbags, Artificial neural networks, Design, Flow (Dynamics), Simulation models, Tiles, Algorithms, Computer simulation, Finite element model, Neural network models

Proceedings Papers

Resistance Spot Welding: A Neural Network Approach to Modeling

Justin Shriver, S. Jack Hu, Huei Peng

Proc. ASME. IMECE98, Manufacturing Science and Engineering, 201-211, November 15–20, 1998

Paper No: IMECE1998-1031

DOI: https://doi.org/10.1115/IMECE1998-1031

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Topics: Artificial neural networks, Modeling, Welding, Control equipment, Design, Feedback, Neural network models, Sensors

Proceedings Papers

A System for First Order Reliability Estimation of Solder Joints in Area Array Packages

Anand M. Deshpande, Ganesh Subbarayan, Dan Rose

Proc. ASME. IMECE98, Manufacturing Science and Engineering, 767-777, November 15–20, 1998

Paper No: IMECE1998-1091

DOI: https://doi.org/10.1115/IMECE1998-1091

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Topics: Reliability, Solder joints, Design, Artificial neural networks, Computers, Fatigue life, Interferometry, Neural network models, Sands

Proceedings Papers

Vision Based Obstacle Detection and Navigation of an Autonomous Vehicle

Vidya K. Nandikolla, Keven Ferman, Eddie Barragan, Stefany Fuentes Melgar, Hector Perez

Proc. ASME. IMECE2021, Volume 7B: Dynamics, Vibration, and Control, V07BT07A016, November 1–5, 2021

Paper No: IMECE2021-69621

DOI: https://doi.org/10.1115/IMECE2021-69621

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Topics: Autonomous vehicles, Navigation, Computers, Graphics processing units, Hardware, Hazards, Machine learning, Neural network models, Robots, Simulation

Proceedings Papers

Development of a Tire/Pavement Contact-Stress Model Based on an Artificial Neural Network

Moustafa El-Gindy, Heidi L. Lewis, A. Scott Lewis

Proc. ASME. IMECE99, Innovations in Vehicle Design and Development, 25-34, November 14–19, 1999

Paper No: IMECE1999-0330

DOI: https://doi.org/10.1115/IMECE1999-0330

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Topics: Artificial neural networks, Pavement, Stress, Tires, Knudsen number, Stress concentration, Highways, Modeling, Neural network models, Pressure

Proceedings Papers

Hybrid Neural Network for Modeling Automotive Clutches

V. Parvataneni, M. Cao, K. W. Wang, Y. Fujii, W. Tobler

Proc. ASME. IMECE99, Dynamic Systems and Control, 255-263, November 14–19, 1999

Paper No: IMECE1999-0034

DOI: https://doi.org/10.1115/IMECE1999-0034

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Topics: Artificial neural networks, Modeling, Torque, Dynamics (Mechanics), Feedback, Neural network models

Proceedings Papers

Intelligent Modeling of Drilling Process: A Knowledge-Based Neural Strategy With Fuzzy Switches

Ye Sheng, Oliver Nelles, Masayoshi Tomizuka

Proc. ASME. IMECE2001, Dynamic Systems and Control, 321-328, November 11–16, 2001

Paper No: IMECE2001/DSC-24540

DOI: https://doi.org/10.1115/IMECE2001/DSC-24540

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Topics: Drilling, Modeling, Switches, Drills (Tools), Neural network models, Simulation, Thrust, Wear

Proceedings Papers

Strategies for Building Artificial Neural Network Models

R. L. Mahajan

Proc. ASME. IMECE2000, Heat Transfer: Volume 3, 91-92, November 5–10, 2000

Paper No: IMECE2000-1464

DOI: https://doi.org/10.1115/IMECE2000-1464

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Topics: Artificial neural networks, Algorithms, Experimental design, Network models, Approximation, Computation, Computer simulation, Dynamic systems, Feedforward control, Materials processing

Proceedings Papers

Machine Diagnostics Using Nonlinear Output Observer and Neural Network Models

Tor Fretheim, Rahmat Shoureshi, Tyrone Vincent, Duane Torgerson, John Work

Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 1, 371-378, November 5–10, 2000

Paper No: IMECE2000-2324

DOI: https://doi.org/10.1115/IMECE2000-2324

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Topics: Artificial neural networks, Design, Failure, Flaw detection, Machinery, Maintenance, Neural network models, Nonlinear systems, Signals, System dynamics

Proceedings Papers

Neural Network Modeling of Maximum Insertion Force of Bevel-Tip Surgical Needle

Sai Teja Reddy Gidde, Tololupe Verissimo, Nuo Chen, Parsaoran Hutapea, Byoung-gook Loh

Proc. ASME. IMECE2018, Volume 3: Biomedical and Biotechnology Engineering, V003T04A027, November 9–15, 2018

Paper No: IMECE2018-88383

DOI: https://doi.org/10.1115/IMECE2018-88383

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Topics: Artificial neural networks, Modeling, Needles, Surgery, Biological tissues, Simulation, Deformation, Neural network models, Phantoms, Biomedicine

Proceedings Papers

Performance Estimation of Direct Methanol Fuel Cell Using Artificial Neural Network

M. A. Rafe Biswas, Melvin D. Robinson

Proc. ASME. IMECE2015, Volume 6B: Energy, V06BT07A022, November 13–19, 2015

Paper No: IMECE2015-51723

DOI: https://doi.org/10.1115/IMECE2015-51723

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Topics: Artificial neural networks, Direct methanol fuel cells, Algorithms, Fuel cells, Neural network models, Topology, Anodes, Chemical energy, Computer simulation, Current density

Proceedings Papers

Prediction of Viscosity of Nanofluids Using Artificial Neural Networks

Ningbo Zhao, Shuying Li, Zhitao Wang, Yunpeng Cao

Proc. ASME. IMECE2014, Volume 8B: Heat Transfer and Thermal Engineering, V08BT10A093, November 14–20, 2014

Paper No: IMECE2014-40354

DOI: https://doi.org/10.1115/IMECE2014-40354

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Topics: Artificial neural networks, Nanofluids, Viscosity, Architecture, Neural network models, Theoretical methods, Water

Proceedings Papers

Design for Multiple Industries: A PDP (Parallel Distributed Processing) Approach

Shuichi Fukuda

Proc. ASME. IMECE2013, Volume 12: Systems and Design, V012T13A066, November 15–21, 2013

Paper No: IMECE2013-63713

DOI: https://doi.org/10.1115/IMECE2013-63713

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Topics: Artificial neural networks, Concurrent engineering, Design, Economics , Energy consumption, Neural network models, Product development, Raw materials, Teams

Proceedings Papers

Neuromodulation Based Control of Autonomous Robots

Akimul Prince, Biswanath Samanta

Proc. ASME. IMECE2013, Volume 4B: Dynamics, Vibration and Control, V04BT04A028, November 15–21, 2013

Paper No: IMECE2013-64049

DOI: https://doi.org/10.1115/IMECE2013-64049

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Topics: Robots, Artificial neural networks, Brain, Neural network models, Risk, Robotics, Signals

Proceedings Papers

Thermoeconomic Diagnosis Applied to the Transient Operation of a Microturbine

Vittorio Verda, Giorgia Baccino

Proc. ASME. IMECE2012, Volume 6: Energy, Parts A and B, 1579-1588, November 9–15, 2012

Paper No: IMECE2012-87605

DOI: https://doi.org/10.1115/IMECE2012-87605

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Topics: Microturbines, Thermoeconomics, Transients (Dynamics), Artificial neural networks, Energy / power systems, Energy resources, Neural network models, Steady state

Proceedings Papers

Modeling of Cell Deformation Under External Force Using Neural Network

M. T. Ahmadian, G. R. Vossoughi, A. A. Abbasi, P. Raeissi

Proc. ASME. IMECE2010, Volume 2: Biomedical and Biotechnology Engineering, 659-665, November 12–18, 2010

Paper No: IMECE2010-38056

DOI: https://doi.org/10.1115/IMECE2010-38056

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Topics: Artificial neural networks, Deformation, Modeling, Membranes, Needles, Algorithms, Cell membranes, Errors, Geometry, Mechanical properties

Proceedings Papers

Monitoring and Diagnosis of Steel Reheating Burners

S. M. Thai, H. S. Chong, C. K. Tan, S. J. Wilcox, J. Ward, G. Andrews

Proc. ASME. IMECE2008, Volume 3: Combustion Science and Engineering, 409-416, October 31–November 6, 2008

Paper No: IMECE2008-67205

DOI: https://doi.org/10.1115/IMECE2008-67205

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Topics: Artificial neural networks, Combustion, Data acquisition systems, Emissions, Fibers, Firing, Flames, Furnaces, Modeling, Neural network models

Proceedings Papers

A Neural Network Model Based Approach to Detect Seal and Impeller Failures in Centrifugal Pumps

Balaje T. Thumati, Jeffery Birt, Neha Bassi, Jag Sarangapani

Proc. ASME. IMECE2007, Volume 10: Mechanics of Solids and Structures, Parts A and B, 665-672, November 11–15, 2007

Paper No: IMECE2007-41941

DOI: https://doi.org/10.1115/IMECE2007-41941

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Topics: Centrifugal pumps, Failure, Impellers, Neural network models, Flaw detection, Artificial neural networks, Downtime, Failure mechanisms, Flow (Dynamics), Hardware

NARROW

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

Neural Network Model of the Voluntary Arm Forces During FES Assisted Standing-up in Paraplegia

Design Depowered Airbag Mass Flow Rate by Using Occupant Simulation Models and Neural Network

Resistance Spot Welding: A Neural Network Approach to Modeling

A System for First Order Reliability Estimation of Solder Joints in Area Array Packages

Vision Based Obstacle Detection and Navigation of an Autonomous Vehicle

Development of a Tire/Pavement Contact-Stress Model Based on an Artificial Neural Network

Hybrid Neural Network for Modeling Automotive Clutches

Intelligent Modeling of Drilling Process: A Knowledge-Based Neural Strategy With Fuzzy Switches

Strategies for Building Artificial Neural Network Models

Machine Diagnostics Using Nonlinear Output Observer and Neural Network Models

Neural Network Modeling of Maximum Insertion Force of Bevel-Tip Surgical Needle

Performance Estimation of Direct Methanol Fuel Cell Using Artificial Neural Network

Prediction of Viscosity of Nanofluids Using Artificial Neural Networks

Design for Multiple Industries: A PDP (Parallel Distributed Processing) Approach

Neuromodulation Based Control of Autonomous Robots

Thermoeconomic Diagnosis Applied to the Transient Operation of a Microturbine

Modeling of Cell Deformation Under External Force Using Neural Network

Monitoring and Diagnosis of Steel Reheating Burners

A Neural Network Model Based Approach to Detect Seal and Impeller Failures in Centrifugal Pumps

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