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Proceedings Papers

Monitoring of Loading Status Inside Rolling Element Bearings Through Electromechanical Sensor Integration

Brian T. Holm-Hansen, Robert X. Gao

Proc. ASME. IMECE97, Dynamic Systems and Control, 329-335, November 16–21, 1997

Paper No: IMECE1997-0413

DOI: https://doi.org/10.1115/IMECE1997-0413

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Topics: Rolling bearings, Sensors, Bearings, Design, Acoustic emissions, Ball bearings, Condition monitoring, Deflection, Dimensions, Finite element analysis

Proceedings Papers

Preliminary Investigation on the Acoustic Characteristics of Turning Processes

Scott Kerner, Zachery Deabenderfer, Katherine Korn, Ihab Ragai, Yabin Liao, David Loker

Proc. ASME. IMECE2021, Volume 2B: Advanced Manufacturing, V02BT02A047, November 1–5, 2021

Paper No: IMECE2021-72923

DOI: https://doi.org/10.1115/IMECE2021-72923

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Topics: Acoustics, Condition monitoring, Machinery, Signals, Turning

Proceedings Papers

Data-Driven Multi-Criteria Decision-Making for Smart and Sustainable Machining

Purvee Bhatia, Yang Liu, Sohan Nagaraj, Varshita Achanta, Bharat Pulaparthi, Nancy Diaz-Elsayed

Proc. ASME. IMECE2021, Volume 2B: Advanced Manufacturing, V02BT02A064, November 1–5, 2021

Paper No: IMECE2021-73085

DOI: https://doi.org/10.1115/IMECE2021-73085

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Topics: Decision making, Machining, Sustainability, Computational fluid dynamics, Preferences, Air flow, Condition monitoring, Cutting tools, Decision analysis, Errors

Proceedings Papers

A Proposed Method for Online Condition Monitoring of Pneumatic Systems Under Different Operating Conditions and Parameters for Optimal Energy Consumption

Anil U. Peerapur, Mangesh N. Dhavalikar, Sunil V. Dingare, Bhumeshwar K. Patle

Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A036, November 1–5, 2021

Paper No: IMECE2021-69942

DOI: https://doi.org/10.1115/IMECE2021-69942

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Topics: Condition monitoring, Energy consumption, Pneumatic systems

Proceedings Papers

Design of an Efficient, Low-Cost, Stationary LiDAR System for Roadway Condition Monitoring

Jarod Bennett, Mather Saladin, Daniel Sizoo, Spencer Stewart, Graham Wood, Thomas DeAgostino, Christopher Depcik

Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A047, November 1–5, 2021

Paper No: IMECE2021-69308

DOI: https://doi.org/10.1115/IMECE2021-69308

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Topics: Condition monitoring, Design, Roads, Transportation systems, Graphical user interfaces, Resolution (Optics), Autonomous vehicles, Computer programming, Corrosion, Data collection

Proceedings Papers

Sensor Module for Integrated Bearing Condition Monitoring

Changting Wang, Robert X. Gao

Proc. ASME. IMECE99, Dynamic Systems and Control, 721-728, November 14–19, 1999

Paper No: IMECE1999-0098

DOI: https://doi.org/10.1115/IMECE1999-0098

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Topics: Bearings, Condition monitoring, Sensors, Signals, Algorithms, Ball bearings, Design, Electronics, Emission spectroscopy, Feature extraction

Proceedings Papers

On-Board Condition Monitoring System for Freight Trains

John Donelson, III, Wayne M. Zavis, S. K. (John) Punwani, Monique Ferguson Stewart, Mark C. Edwards

Proc. ASME. IMECE2001, Rail Transportation, 165-171, November 11–16, 2001

Paper No: IMECE2001/RTD-25718

DOI: https://doi.org/10.1115/IMECE2001/RTD-25718

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Topics: Condition monitoring, Trains, Railroads, Bearings, Brakes, Industrial research, Safety, Trucks, Wheels

Proceedings Papers

Development of a System for Monitoring Tool Wear Using Artificial Intelligence Techniques

Rui. G. Silva, Steven J. Wilcox, Robert L. Reuben

Proc. ASME. IMECE2001, Dynamic Systems and Control, 57-64, November 11–16, 2001

Paper No: IMECE2001/DSC-24507

DOI: https://doi.org/10.1115/IMECE2001/DSC-24507

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Topics: Artificial intelligence, Wear, Artificial neural networks, Expert systems, Sensors, Condition monitoring, Cutting, Cutting tools, Machinery, Modular construction

Proceedings Papers

Processing, Understanding, and Application of Piezoelectric Materials for an Artificial Neural System

M. J. Schulz, S. Chattopadhyay, M. J. Sundaresan, A. Ghoshal, W. N. Martin, P. R. Pratap

Proc. ASME. IMECE2001, Effects of Processing on Properties of Advanced Ceramics, 65-76, November 11–16, 2001

Paper No: IMECE2001/MD-24807

DOI: https://doi.org/10.1115/IMECE2001/MD-24807

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Topics: Damage, Piezoelectric materials, Sensors, Condition monitoring, Piezoelectric ceramics, Smart structures, Acoustic emissions, Active materials, Actuators, Design

Proceedings Papers

A Systematic Approach for Machining Process Improvement

Brij B. Seth, Youssef A. Hamidieh, Balachandra Muniyappa

Proc. ASME. IMECE2001, Vibration and Control of Mechanical Systems, 57-62, November 11–16, 2001

Paper No: IMECE2001/DE-23207

DOI: https://doi.org/10.1115/IMECE2001/DE-23207

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Topics: Machining, Design, Signals, Vibration, Condition monitoring, Machinery, Maintenance, Performance characterization, Reliability, Stiffness

Proceedings Papers

Distributed Piezotransducers for Damage Detection

Grzegorz Kawiecki

Proc. ASME. IMECE2000, Adaptive Structures and Material Systems, 399-406, November 5–10, 2000

Paper No: IMECE2000-1730

DOI: https://doi.org/10.1115/IMECE2000-1730

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Topics: Damage, Artificial neural networks, Signals, Condition monitoring, Expert systems, Signal processing, Structural elements (Construction)

Proceedings Papers

Web Based Application for Quick and Handy Health Condition Monitoring System for a Reliable Wind Power Generation

Amar Kumar Verma, Sudha Radhika, Naren Surampudi

Proc. ASME. IMECE2020, Volume 14: Safety Engineering, Risk, and Reliability Analysis, V014T14A009, November 16–19, 2020

Paper No: IMECE2020-23713

DOI: https://doi.org/10.1115/IMECE2020-23713

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Topics: Condition monitoring, Wind power, Failure, Stators, Wind turbines, Machinery, Motors, Insulation, Renewable energy, Visualization

Proceedings Papers

Passive Impedance-Loaded Surface Acoustic Wave (SAW) Sensor for Soil Condition Monitoring

Jian Chu, Ioana Voiculescu, Ziqian Dong, Fang Li

Proc. ASME. IMECE2020, Volume 13: Micro- and Nano-Systems Engineering and Packaging, V013T13A009, November 16–19, 2020

Paper No: IMECE2020-23746

DOI: https://doi.org/10.1115/IMECE2020-23746

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Topics: Condition monitoring, Sensors, Soil, Surface acoustic waves

Proceedings Papers

Remaining Useful Life (RUL) Prediction of Rolling Element Bearing Using Random Forest and Gradient Boosting Technique

Sangram Patil, Aum Patil, Vishwadeep Handikherkar, Sumit Desai, Vikas M. Phalle, Faruk S. Kazi

Proc. ASME. IMECE2018, Volume 13: Design, Reliability, Safety, and Risk, V013T05A019, November 9–15, 2018

Paper No: IMECE2018-87623

DOI: https://doi.org/10.1115/IMECE2018-87623

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Topics: Rolling bearings, Service life (Equipment), Bearings, Artificial intelligence, Condition monitoring, Failure, Hazards, Maintenance, Reliability, Signals

Proceedings Papers

Feasibility Study of Condition Monitoring for Some Event Around the Crosshead in a Reciprocating Compressor

Yoshifumi Mori, Takashi Saito, Yu Mizobe

Proc. ASME. IMECE2018, Volume 2: Advanced Manufacturing, V002T02A045, November 9–15, 2018

Paper No: IMECE2018-87153

DOI: https://doi.org/10.1115/IMECE2018-87153

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Topics: Compressors, Condition monitoring, Failure, Damage, Dimensions, Eigenvalues, Error functions, Resonance

Proceedings Papers

Condition Monitoring Technology for Connecting Part and Sliding Part of Reciprocating Compressor

Yoshifumi Mori, Takashi Saito, Yu Mizobe

Proc. ASME. IMECE2017, Volume 4A: Dynamics, Vibration, and Control, V04AT05A050, November 3–9, 2017

Paper No: IMECE2017-70913

DOI: https://doi.org/10.1115/IMECE2017-70913

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Topics: Compressors, Condition monitoring, Failure, Resonance, Pistons, Eigenvalues, Error functions, Frequency response, Vibration

Proceedings Papers

Design for Manufacturing and Assembly (DFMA) of a Test Bench to Simulate Mechanical Vibrations in Rotating Equipment

Jessica Gissella Maradey Lázaro, Carlos Adolfo Forero González, Germán Andrés Ovalle Silva

Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A050, November 3–9, 2017

Paper No: IMECE2017-70892

DOI: https://doi.org/10.1115/IMECE2017-70892

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Topics: Design for Manufacturing, Manufacturing, Vibration, Failure, Damage, Bearings, Condition monitoring, Density, Design, Engines

Proceedings Papers

Steam Turbine Loss Evaluation and Condition Monitoring: A Loss Data Based Study

Bin Zhou

Proc. ASME. IMECE2016, Volume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis, V014T14A018, November 11–17, 2016

Paper No: IMECE2016-65087

DOI: https://doi.org/10.1115/IMECE2016-65087

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Topics: Condition monitoring, Steam turbines, Turbines, Breakdown (Electricity), Design, Maintenance

Proceedings Papers

Application to the Reciprocating Compressor Condition Monitoring Using Vibration Models

Yoshifumi Mori, Takashi Saito, Takenori Nakamura, Katsuhide Fujita

Proc. ASME. IMECE2016, Volume 4B: Dynamics, Vibration, and Control, V04BT05A045, November 11–17, 2016

Paper No: IMECE2016-65562

DOI: https://doi.org/10.1115/IMECE2016-65562

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Topics: Compressors, Condition monitoring, Vibration, Stiffness, Carbon, Eigenvalues, Failure, Impact testing, Molybdenum, Steel

Proceedings Papers

Surface Roughness Identification in End Milling Using Vibration Signals and Fuzzy Clustering

Issam Abu-Mahfouz, Amit Banerjee, A. H. M. Esfakur Rahman

Proc. ASME. IMECE2016, Volume 4A: Dynamics, Vibration, and Control, V04AT05A060, November 11–17, 2016

Paper No: IMECE2016-68207

DOI: https://doi.org/10.1115/IMECE2016-68207

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Topics: Fuzzy clustering, Milling, Signals, Surface roughness, Vibration, Cutting, Accelerometers, Aluminum, Condition monitoring, Engineering simulation

2 3 4

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Monitoring of Loading Status Inside Rolling Element Bearings Through Electromechanical Sensor Integration

Preliminary Investigation on the Acoustic Characteristics of Turning Processes

Data-Driven Multi-Criteria Decision-Making for Smart and Sustainable Machining

A Proposed Method for Online Condition Monitoring of Pneumatic Systems Under Different Operating Conditions and Parameters for Optimal Energy Consumption

Design of an Efficient, Low-Cost, Stationary LiDAR System for Roadway Condition Monitoring

Sensor Module for Integrated Bearing Condition Monitoring

On-Board Condition Monitoring System for Freight Trains

Development of a System for Monitoring Tool Wear Using Artificial Intelligence Techniques

Processing, Understanding, and Application of Piezoelectric Materials for an Artificial Neural System

A Systematic Approach for Machining Process Improvement

Distributed Piezotransducers for Damage Detection

Web Based Application for Quick and Handy Health Condition Monitoring System for a Reliable Wind Power Generation

Passive Impedance-Loaded Surface Acoustic Wave (SAW) Sensor for Soil Condition Monitoring

Remaining Useful Life (RUL) Prediction of Rolling Element Bearing Using Random Forest and Gradient Boosting Technique

Feasibility Study of Condition Monitoring for Some Event Around the Crosshead in a Reciprocating Compressor

Condition Monitoring Technology for Connecting Part and Sliding Part of Reciprocating Compressor

Design for Manufacturing and Assembly (DFMA) of a Test Bench to Simulate Mechanical Vibrations in Rotating Equipment

Steam Turbine Loss Evaluation and Condition Monitoring: A Loss Data Based Study

Application to the Reciprocating Compressor Condition Monitoring Using Vibration Models

Surface Roughness Identification in End Milling Using Vibration Signals and Fuzzy Clustering

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