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Proceedings Papers

Experimental Investigation of a Wind Turbine Gearbox for Prognostics and Health Management

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Fredrick J. Ayivor, Behnam Askarian, Byron A. Neal, Fisseha M. Alemayehu
Proc. ASME. IMECE2024, Volume 11: Safety Engineering, Risk and Reliability Analysis; Research Posters, V011T14A009, November 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2024-145772
https://doi.org/10.1115/IMECE2024-145772
View Paper titled, Experimental Investigation of a Wind Turbine Gearbox for Prognostics and Health Management
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Topics: Mechanical drives, Reliability, Wind turbines, Failure, Renewable energy, Rotors, Sensors, Wind energy, Accelerometers, Acoustics
Proceedings Papers

Nonlinear Mapping Lyapunov Exponents-Based KNN Analysis for Fault Classification

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Md Saifuddin Ahmed Atique, Cai Xia Yang
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A061, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-95739
https://doi.org/10.1115/IMECE2022-95739
View Paper titled, Nonlinear Mapping Lyapunov Exponents-Based KNN Analysis for Fault Classification
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Topics: Damage, Downtime, Failure, Fault diagnosis, Feature selection, Flaw detection, Large eddy simulation, Machine components, Machinery, Testing
Proceedings Papers

Designing Machine Tools to Minimize Life Cycle Cost

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Michael F. Carter
Proc. ASME. IMECE98, Applications of Design for Manufacturing, 1-5, November 15–20, 1998
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1998-0908
https://doi.org/10.1115/IMECE1998-0908
View Paper titled, Designing Machine Tools to Minimize Life Cycle Cost
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Topics: Design, Life cycle costing, Machine tools, Maintenance, Breakdown (Electricity), Construction, Downtime, Machinery, Manufacturing
Proceedings Papers

Prognostic Health Monitoring Method for Thermal Fatigue Failure of Power Modules Based on Finite Element Method-Based Lagrangian Neural Networks

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Akira Kano, Tomoko Monda, Tomoyuki Suzuki, Hideaki Uehara, Tomoya Fumikura, Kenji Hirohata
Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A028, November 1–5, 2021
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-70783
https://doi.org/10.1115/IMECE2021-70783
View Paper titled, Prognostic Health Monitoring Method for Thermal Fatigue Failure of Power Modules Based on Finite Element Method-Based Lagrangian Neural Networks
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Topics: Artificial neural networks, Fatigue, Fatigue failure, Finite element analysis, Fatigue life, Stress, Reliability, Cycles, Maintenance, Solder joints
Proceedings Papers

Detection of Wrap-Up Incidents in a Napping Machine

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Shahzad A. Dad, Sagar V. Kamarthi, Thomas P. Cullinane
Proc. ASME. IMECE99, The Science, Automation, and Control of Material Processes Involving Coupled Transport and Rheology Changes, 1-6, November 14–19, 1999
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1999-1248
https://doi.org/10.1115/IMECE1999-1248
View Paper titled, Detection of Wrap-Up Incidents in a Napping Machine
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Topics: Machinery, Artificial neural networks, Signals, Damage, Discrete wavelet transforms, Textiles, Vibration, Downtime, Maintenance
Proceedings Papers

A Novelty Detection Approach to Compressor Valve Fault Detection and Localization

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Colton M. Scott, Jason R. Kolodziej
Proc. ASME. IMECE2020, Volume 14: Safety Engineering, Risk, and Reliability Analysis, V014T14A005, November 16–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-23314
https://doi.org/10.1115/IMECE2020-23314
View Paper titled, A Novelty Detection Approach to Compressor Valve Fault Detection and Localization
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Topics: Compressors, Flaw detection, Valves, Wear, Algorithms, Support vector machines, Time-frequency analysis, Vibration, Compression, Cycles
Proceedings Papers

Bearing Fault Detection and Classification: A Framework Approach

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Carlos Fabián Melgarejo Agudelo, John Jairo Blanco Rodriguez, Jessica Gissella Maradey Lázaro
Proc. ASME. IMECE2020, Volume 7A: Dynamics, Vibration, and Control, V07AT07A048, November 16–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-24124
https://doi.org/10.1115/IMECE2020-24124
View Paper titled, Bearing Fault Detection and Classification: A Framework Approach
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Topics: Bearings, Flaw detection, Failure, Artificial neural networks, Machinery, Maintenance, Damage, Downtime, Support vector machines, Noise (Sound)
Proceedings Papers

Supply Air Temperature Prediction in an Air-Handling Unit Using Artificial Neural Network

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Nikita Sukthankar, Abhishek Walekar, Dereje Agonafer
Proc. ASME. IMECE2018, Volume 8B: Heat Transfer and Thermal Engineering, V08BT10A064, November 9–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2018-88507
https://doi.org/10.1115/IMECE2018-88507
View Paper titled, Supply Air Temperature Prediction in an Air-Handling Unit Using Artificial Neural Network
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Topics: Artificial neural networks, Temperature, Computational fluid dynamics, Data centers, Computation, Computer software, Downtime, Energy consumption, Engineering simulation, Simulation
Proceedings Papers

Torch End-Effector and TIG Electrode Changeout Design for a TIG Welding Robot Used in Metal Big Area Additive Manufacturing

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Christopher Masuo, Andrzej Nycz, Mark W. Noakes, Jared Bell, Justin Killian, Chandler Oakley, William R. Hamel
Proc. ASME. IMECE2018, Volume 2: Advanced Manufacturing, V002T02A094, November 9–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2018-86726
https://doi.org/10.1115/IMECE2018-86726
View Paper titled, Torch End-Effector and TIG Electrode Changeout Design for a TIG Welding Robot Used in Metal Big Area Additive Manufacturing
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Topics: Additive manufacturing, Design, Electrodes, End effectors, Gas tungsten arc welding, Metals, Robots, Printing, Robotics, Welding
Proceedings Papers

Adaptive Industrial Robots Using Machine Vision

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Vladimir Kuts, Tauno Otto, Toivo Tähemaa, Khuldoon Bukhari, Tengiz Pataraia
Proc. ASME. IMECE2018, Volume 2: Advanced Manufacturing, V002T02A093, November 9–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2018-86720
https://doi.org/10.1115/IMECE2018-86720
View Paper titled, Adaptive Industrial Robots Using Machine Vision
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Topics: Machinery, Robots, Computer programming, Collaboration, Downtime, Engineering simulation, Machine learning, Manufacturing, Manufacturing industry, Matlab
Proceedings Papers

Analysis of Wind Turbine Capacity Factor Improvement by Correcting Yaw Error Using LIDAR

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Roozbeh Bakhshi, Peter Sandborn
Proc. ASME. IMECE2017, Volume 6: Energy, V006T08A092, November 3–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2017-71759
https://doi.org/10.1115/IMECE2017-71759
View Paper titled, Analysis of Wind Turbine Capacity Factor Improvement by Correcting Yaw Error Using LIDAR
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Topics: Errors, Wind turbines, Yaw, Energy generation, Turbines, Wind farms, Control equipment, Downtime, Flow (Dynamics), Ocean engineering
Proceedings Papers

Dynamic and Controlled Tuning of the Boiling Curve During Quenching

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Arjang Shahriari, Mark Hermes, Vaibhav Bahadur
Proc. ASME. IMECE2016, Volume 8: Heat Transfer and Thermal Engineering, V008T10A016, November 11–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2016-65866
https://doi.org/10.1115/IMECE2016-65866
View Paper titled, Dynamic and Controlled Tuning of the Boiling Curve During Quenching
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Topics: Boiling, Quenching (Metalworking), Heat transfer, Vapors, Cooling, Fluids, Metals, Wetting, Cycles, Downtime
Proceedings Papers

A Survey of Approaches for Fault Diagnosis in Axial Piston Pumps

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Jessica Gissella Maradey Lázaro, Carlos Borrás Pinilla, Sebastian Roa Prada
Proc. ASME. IMECE2016, Volume 4A: Dynamics, Vibration, and Control, V04AT05A052, November 11–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2016-66789
https://doi.org/10.1115/IMECE2016-66789
View Paper titled, A Survey of Approaches for Fault Diagnosis in Axial Piston Pumps
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Topics: Fault diagnosis, Pistons, Pumps, Displacement, Support vector machines, Artificial neural networks, Downtime, Fluid power systems, Fuzzy logic, Hydraulic drive systems
Proceedings Papers

Development of Gas Compressor Diagnostic Program Using Knowledge Based Management Concept

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Shaharin Anwar Sulaiman, Khairil Ikhwan Abdul Rahman, Mohd Shahrizal Jasmani
Proc. ASME. IMECE2013, Volume 5: Education and Globalization, V005T05A039, November 15–21, 2013
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2013-65914
https://doi.org/10.1115/IMECE2013-65914
View Paper titled, Development of Gas Compressor Diagnostic Program Using Knowledge Based Management Concept
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Topics: Gas compressors, Maintenance, Compressors, Computer software, Downtime, Engineers, Machinery, Natural gas, Offshore platforms, Petroleum industry
Proceedings Papers

Aircraft Fleet Maintenance Planning Using Combined Cost Benefit Model and Branch and Bound

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Behnam Razavi, Farrokh Sassani
Proc. ASME. IMECE2013, Volume 1: Advances in Aerodynamics, V001T01A026, November 15–21, 2013
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2013-64799
https://doi.org/10.1115/IMECE2013-64799
View Paper titled, Aircraft Fleet Maintenance Planning Using Combined Cost Benefit Model and Branch and Bound
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Topics: Aircraft, Cost benefit analysis, Maintenance, Engines, Flight, Service life (Equipment), Chain, Delays, Density, Downtime
Proceedings Papers

Probabilistic Multibody Modeling of Gearboxes for Wind Turbines

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Fisseha M. Alemayehu, Stephen Ekwaro-Osire
Proc. ASME. IMECE2011, Volume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts A and B, 793-804, November 11–17, 2011
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2011-64639
https://doi.org/10.1115/IMECE2011-64639
View Paper titled, Probabilistic Multibody Modeling of Gearboxes for Wind Turbines
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Topics: Modeling, Wind turbines, Design, Failure, Reliability, Uncertainty, Wind, Downtime, Dynamic modeling, Mechanical drives
Proceedings Papers

Risk Assessment Overview

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Peter G. Prassinos, John W. Lyver, IV, Chinh T. Bui
Proc. ASME. IMECE2011, Volume 1: Advances in Aerospace Technology; Energy Water Nexus; Globalization of Engineering; Posters, 673-677, November 11–17, 2011
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2011-63490
https://doi.org/10.1115/IMECE2011-63490
View Paper titled, Risk Assessment Overview
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Topics: Risk assessment, Risk, Decision making, Manufacturing, Transportation systems, Failure, System failures, Computers, Downtime, Electronic systems
Proceedings Papers

Sensorless Detection and Isolation of Faults in Motor-Pump Systems

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Parasuram P. Harihara, Alexander G. Parlos
Proc. ASME. IMECE2008, Volume 5: Design, Analysis, Control and Diagnosis of Fluid Power Systems, 43-50, October 31–November 6, 2008
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2008-66446
https://doi.org/10.1115/IMECE2008-66446
View Paper titled, Sensorless Detection and Isolation of Faults in Motor-Pump Systems
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Topics: Motors, Pumps, Engines, Electromagnetic induction, Bearings, Stress, Centrifugal pumps, Failure, Power systems (Machinery), Algorithms
Proceedings Papers

Sensorless Detection of Impeller Cracks in Motor Driven Centrifugal Pumps

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Parasuram P. Harihara, Alexander G. Parlos
Proc. ASME. IMECE2008, Volume 5: Design, Analysis, Control and Diagnosis of Fluid Power Systems, 17-23, October 31–November 6, 2008
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2008-66273
https://doi.org/10.1115/IMECE2008-66273
View Paper titled, Sensorless Detection of Impeller Cracks in Motor Driven Centrifugal Pumps
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Topics: Centrifugal pumps, Fracture (Materials), Impellers, Motors, Pumps, Sensors, Stress, Algorithms, Electromagnetic induction, Flaw detection
Proceedings Papers

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

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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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2007-41941
https://doi.org/10.1115/IMECE2007-41941
View Paper titled, A Neural Network Model Based Approach to Detect Seal and Impeller Failures in Centrifugal Pumps
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Topics: Centrifugal pumps, Failure, Impellers, Neural network models, Flaw detection, Artificial neural networks, Downtime, Failure mechanisms, Flow (Dynamics), Hardware