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Proceedings Papers

Integrating Vibration, Motor Current, and Wear Particle Analysis With Machine Operating State for On-Line Machinery Prognostics/Diagnostics Systems (MPROS)

Dana K. Martin, Joe Van Dyke
Proc. ASME. IMECE97, Emerging Technologies for Machinery Health Monitoring and Prognosis, 61-67, November 16–21, 1997
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1997-1272
https://doi.org/10.1115/IMECE1997-1272
View Paper titled, Integrating Vibration, Motor Current, and Wear Particle Analysis With Machine Operating State for On-Line Machinery Prognostics/Diagnostics Systems (MPROS)
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Topics: Engines, Machinery, Motors, Particulate matter, Vibration, Wear, Air conditioning, Engineering prototypes, Compressors, Condition monitoring
Proceedings Papers

Improved Non-Contact Ultrasonic High-Speed Structural Condition Monitoring of Rails Using a Controlled Acoustic Source and Random Wheel Generated Excitations

Diptojit Datta, Ali Zare Hosseinzadeh, Izabela Batista, Francesco Lanza di Scalea
Proc. ASME. IMECE2023, Volume 1: Acoustics, Vibration, and Phononics, V001T01A023, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-113918
https://doi.org/10.1115/IMECE2023-113918
View Paper titled, Improved Non-Contact Ultrasonic High-Speed Structural Condition Monitoring of Rails Using a Controlled Acoustic Source and Random Wheel Generated Excitations
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Topics: Acoustics, Condition monitoring, Excitation, Impulse (Physics), Rails, Structural health monitoring, Transducers, Wheels
Proceedings Papers

Condition Monitoring of Cutting Tools by Feature Analysis of Vibro-Acoustic Sensing Signals

Dongjing Lao, Yanfeng Shen
Proc. ASME. IMECE2023, Volume 3: Advanced Manufacturing, V003T03A012, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-112025
https://doi.org/10.1115/IMECE2023-112025
View Paper titled, Condition Monitoring of Cutting Tools by Feature Analysis of Vibro-Acoustic Sensing Signals
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Topics: Acoustics, Condition monitoring, Cutting tools, Manufacturing, Signals
Proceedings Papers

Numerical Study of Distributed Acoustic Sensing (DAS) for Railway Condition Monitoring

Michael Jones, Md Arifur Rahman, Mohammad Taheri, Hossein Taheri
Proc. ASME. IMECE2023, Volume 3: Advanced Manufacturing, V003T03A014, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-112954
https://doi.org/10.1115/IMECE2023-112954
View Paper titled, Numerical Study of Distributed Acoustic Sensing (DAS) for Railway Condition Monitoring
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Topics: Acoustics, Condition monitoring, Data acquisition systems, Fibers, Finite element analysis, Railroads
Proceedings Papers

A Comparative Classification Study on the Use of Acoustic Emission Signals for Surface Roughness Condition Monitoring in End Milling of Stainless Steel

Issam Abu-Mahfouz, Amit Banerjee, Esfakur AHM Rahman
Proc. ASME. IMECE2023, Volume 6: Dynamics, Vibration, and Control, V006T07A094, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-114248
https://doi.org/10.1115/IMECE2023-114248
View Paper titled, A Comparative Classification Study on the Use of Acoustic Emission Signals for Surface Roughness Condition Monitoring in End Milling of Stainless Steel
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Topics: Acoustic emissions, Artificial intelligence, Condition monitoring, Machine learning, Milling, Signals, Stainless steel, Surface roughness
Proceedings Papers

Multi-Spindle Drilling Process Condition Monitoring and Fault Diagnosis

S. Gu, J. Ni
Proc. ASME. IMECE96, Manufacturing Science and Engineering, 555-562, November 17–22, 1996
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1996-0826
https://doi.org/10.1115/IMECE1996-0826
View Paper titled, Multi-Spindle Drilling Process Condition Monitoring and Fault Diagnosis
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Topics: Condition monitoring, Drilling, Fault diagnosis, Drills (Tools), Process monitoring, Wear, Engines, Force sensors, Manufacturing, Sensors
Proceedings Papers

Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure

Ethan Wescoat, Matthew Krugh, Laine Mears
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A012, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-93869
https://doi.org/10.1115/IMECE2022-93869
View Paper titled, Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure
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Topics: Bearings, Failure, Failure data, Damage, Fatigue, Algorithms, Condition monitoring, Digital twin, Maintenance, Manufacturing
Proceedings Papers

Distributed Acoustic Sensing (DAS) for Intelligent In-Motion Transportation Condition Monitoring

Hossein Taheri, Michael Jones, Suyen Bueso Quan, Maria Gonzalez Bocanegra, Mohammad Taheri
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A050, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-95366
https://doi.org/10.1115/IMECE2022-95366
View Paper titled, Distributed Acoustic Sensing (DAS) for Intelligent In-Motion Transportation Condition Monitoring
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Topics: Acoustics, Condition monitoring, Data acquisition systems, Nondestructive evaluation, Transportation systems
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1997-0413
https://doi.org/10.1115/IMECE1997-0413
View Paper titled, Monitoring of Loading Status Inside Rolling Element Bearings Through Electromechanical Sensor Integration
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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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-72923
https://doi.org/10.1115/IMECE2021-72923
View Paper titled, Preliminary Investigation on the Acoustic Characteristics of Turning Processes
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Topics: Acoustics, Condition monitoring, Machinery, Signals, Turning
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-69942
https://doi.org/10.1115/IMECE2021-69942
View Paper titled, A Proposed Method for Online Condition Monitoring of Pneumatic Systems Under Different Operating Conditions and Parameters for Optimal Energy Consumption
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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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-69308
https://doi.org/10.1115/IMECE2021-69308
View Paper titled, Design of an Efficient, Low-Cost, Stationary LiDAR System for Roadway Condition Monitoring
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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

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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-73085
https://doi.org/10.1115/IMECE2021-73085
View Paper titled, Data-Driven Multi-Criteria Decision-Making for Smart and Sustainable Machining
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Topics: Decision making, Machining, Sustainability, Computational fluid dynamics, Preferences, Air flow, Condition monitoring, Cutting tools, Decision analysis, Errors
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1999-0098
https://doi.org/10.1115/IMECE1999-0098
View Paper titled, Sensor Module for Integrated Bearing Condition Monitoring
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Topics: Bearings, Condition monitoring, Sensors, Signals, Algorithms, Ball bearings, Design, Electronics, Emission spectroscopy, Feature extraction
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2001/MD-24807
https://doi.org/10.1115/IMECE2001/MD-24807
View Paper titled, Processing, Understanding, and Application of Piezoelectric Materials for an Artificial Neural System
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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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2001/DE-23207
https://doi.org/10.1115/IMECE2001/DE-23207
View Paper titled, A Systematic Approach for Machining Process Improvement
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Topics: Machining, Design, Signals, Vibration, Condition monitoring, Machinery, Maintenance, Performance characterization, Reliability, Stiffness
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2001/DSC-24507
https://doi.org/10.1115/IMECE2001/DSC-24507
View Paper titled, Development of a System for Monitoring Tool Wear Using Artificial Intelligence Techniques
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Topics: Artificial intelligence, Wear, Artificial neural networks, Expert systems, Sensors, Condition monitoring, Cutting, Cutting tools, Machinery, Modular construction
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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2001/RTD-25718
https://doi.org/10.1115/IMECE2001/RTD-25718
View Paper titled, On-Board Condition Monitoring System for Freight Trains
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Topics: Condition monitoring, Trains, Railroads, Bearings, Brakes, Industrial research, Safety, Trucks, Wheels
Proceedings Papers

Distributed Piezotransducers for Damage Detection

Grzegorz Kawiecki
Proc. ASME. IMECE2000, Adaptive Structures and Material Systems, 399-406, November 5–10, 2000
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2000-1730
https://doi.org/10.1115/IMECE2000-1730
View Paper titled, Distributed Piezotransducers for Damage Detection
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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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-23713
https://doi.org/10.1115/IMECE2020-23713
View Paper titled, Web Based Application for Quick and Handy Health Condition Monitoring System for a Reliable Wind Power Generation
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Topics: Condition monitoring, Wind power, Failure, Stators, Wind turbines, Machinery, Motors, Insulation, Renewable energy, Visualization