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Proceedings Papers

A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes

Nowrin Akter Surovi, Shaista Hussain, Gim Song Soh

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A002, August 14–17, 2022

Paper No: DETC2022-89164

DOI: https://doi.org/10.1115/DETC2022-89164

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Topics: Additive manufacturing, Flaw detection, Machine learning, Wire, Acoustics, Printing, Support vector machines, Pressure

Proceedings Papers

Synthetic Image Assisted Deep Learning Framework for Detecting Defects During Composite Sheet Layup

Omey M. Manyar, Junyan Cheng, Reuben Levine, Vihan Krishnan, Jernej Barbič, Satyandra K. Gupta

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A005, August 14–17, 2022

Paper No: DETC2022-90084

DOI: https://doi.org/10.1115/DETC2022-90084

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Topics: Composite materials, Flaw detection, Manufacturing, Machinery, Simulation, Trains

Proceedings Papers

A Computational Framework for the Evaluation of Resilience in Deep Space Habitat Systems

Amir Behjat, Roman Ibrahimov, Ali Lenjani, Aaron Barket, Kathleen Martinus, Amin Maghareh, Dawn Whitaker, Illias Bilionis, Shirley Dyke

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A036, August 14–17, 2022

Paper No: DETC2022-89132

DOI: https://doi.org/10.1115/DETC2022-89132

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Topics: Resilience, Design, Hazards, Dust, Energy / power systems, Energy efficiency, Flaw detection, Fluctuations (Physics), Maintenance, Robotics

Proceedings Papers

Towards Generalization of Intelligent Fault Detection for Roller Element Bearings via Distinct Dataset Transfer Learning

Justin Larocque-Villiers, Patrick Dumond

Proc. ASME. IDETC-CIE2021, Volume 10: 33rd Conference on Mechanical Vibration and Sound (VIB), V010T10A012, August 17–19, 2021

Paper No: DETC2021-67773

DOI: https://doi.org/10.1115/DETC2021-67773

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Topics: Artificial neural networks, Bearings, Flaw detection, Rollers

Proceedings Papers

The MAIANDROS System for Random-Vibration-Based On-Board Railway Vehicle and Track Monitoring

Georgios Vlachospyros, Ilias A. Iliopoulos, Kiriakos Kritikakos, Nikolaos Kaliorakis, Spilios D. Fassois, John S. Sakellariou, Alexandros Deloukas, George Leoutsakos, Christos Giannakis, Elias Chronopoulos, Elias Tountas, Dimosthenis Kapiris

Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A014, August 17–19, 2021

Paper No: DETC2021-70166

DOI: https://doi.org/10.1115/DETC2021-70166

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Topics: Railway vehicles, Vibration, Wheels, Vehicles, Condition monitoring, Decision making, Engineering prototypes, Engineering simulation, Flaw detection, Railroads

Proceedings Papers

Crack Detection in Turbo Rotors Vibrational Analysis and Fault Detection

Dirk Söffker, Jozef Bajkowski, Peter C. Müller

Proc. ASME. DETC93, 14th Biennial Conference on Mechanical Vibration and Noise: Vibration of Rotating Systems, 277-287, September 19–22, 1993

Paper No: DETC1993-0203

DOI: https://doi.org/10.1115/DETC1993-0203

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Topics: Crack detection, Flaw detection, Rotors, Turbochargers, Fracture (Materials), Attractors, Bearings, Dynamic systems, Non-smooth dynamics, State estimation

Proceedings Papers

Fault Detection and Isolation Procedures Contribute to Damage Diagnosis of Rotating Machinery

Susanne Seibold

Proc. ASME. DETC95, Volume 3C: 15th Biennial Conference on Mechanical Vibration and Noise — Vibration Control, Analysis, and Identification, 1293-1300, September 17–20, 1995

Paper No: DETC1995-0705

DOI: https://doi.org/10.1115/DETC1995-0705

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Topics: Damage, Flaw detection, Machinery, Rotors, Algorithms, Finite element analysis, Fracture (Materials), Kalman filters, Nonlinear systems, Signals

Proceedings Papers

A New Model-Based Tool for Fault Detection and Isolation in Machine- and Rotordynamics

Dirk Söffker

Proc. ASME. DETC95, Volume 2: 11th Biennial Conference on Reliability, Stress Analysis, and Failure Prevention; 7th International Conference on Design Theory and Methodology; JSME Symposium on Design and Production; Mechanical Design Education and History; Computer-Integrated Concurrent Design Conference, 233-242, September 17–20, 1995

Paper No: DETC1995-0157

DOI: https://doi.org/10.1115/DETC1995-0157

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Topics: Flaw detection, Machinery, Rotordynamics, Signals, Decision making, Failure, Actuators, Crack detection, Manufacturing, Monitoring systems

Proceedings Papers

Improving Manufacturing Precision Using the Karhunen-Loève Transform

Irem Y. Tumer, Kristin L. Wood, Ilene J. Busch-Vishniac

Proc. ASME. DETC97, Volume 4: Design for Manufacturing Conference, V004T31A046, September 14–17, 1997

Paper No: DETC97/DFM-4347

DOI: https://doi.org/10.1115/DETC97/DFM-4347

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Topics: Design for Manufacturing, Manufacturing, Signals, Design, Flaw detection, Machine components, Machinery, Manufacturing systems

Proceedings Papers

Identification of Fault Signals in Rotating Machinery Using Higher Order Time Frequency Analysis

Sang-Kwon Lee, Paul R. White

Proc. ASME. DETC97, Volume 1D: 16th Biennial Conference on Mechanical Vibration and Noise, V01DT21A002, September 14–17, 1997

Paper No: DETC97/VIB-4137

DOI: https://doi.org/10.1115/DETC97/VIB-4137

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Topics: Machinery, Signals, Time-frequency analysis, Acoustics, Condition monitoring, Engines, Fault diagnosis, Flaw detection, Impulse (Physics), Mechanical drives

Proceedings Papers

Wavelet Novelty Measure for Machinery Diagnostics

Wiesław J. Staszewski

Proc. ASME. DETC97, Volume 1D: 16th Biennial Conference on Mechanical Vibration and Noise, V01DT21A005, September 14–17, 1997

Paper No: DETC97/VIB-4140

DOI: https://doi.org/10.1115/DETC97/VIB-4140

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Topics: Machinery, Wavelets, Algorithms, Compression, Flaw detection, Vibration

Proceedings Papers

Using Model Updating Technique to Train Neural Network for Fault Detection

Vicente Lopes, Jr., João Antonio Pereira, Hans Ingo Weber

Proc. ASME. DETC97, Volume 1D: 16th Biennial Conference on Mechanical Vibration and Noise, V01DT18A001, September 14–17, 1997

Paper No: DETC97/VIB-4233

DOI: https://doi.org/10.1115/DETC97/VIB-4233

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Topics: Artificial neural networks, Flaw detection, Trains

Proceedings Papers

A New Strategy for Detecting Gear Faults Using Denoising With the Orthogonal Discrete Wavelet Transform (ODWT)

Sidi M. Berri, J. M. Klosner

Proc. ASME. DETC99, Volume 7A: 17th Biennial Conference on Mechanical Vibration and Noise, 1271-1279, September 12–16, 1999

Paper No: DETC99/VIB-8326

DOI: https://doi.org/10.1115/DETC99/VIB-8326

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Topics: Discrete wavelet transforms, Gears, Wavelets, Signals, Flaw detection, Noise (Sound), Spur gears, Wavelet transforms

Proceedings Papers

Gearbox Fault Detection Using Neural Networks Technology

Qiao Sun, Xiaolei Li, Baoyun Xu

Proc. ASME. DETC99, Volume 7A: 17th Biennial Conference on Mechanical Vibration and Noise, 1297-1301, September 12–16, 1999

Paper No: DETC99/VIB-8329

DOI: https://doi.org/10.1115/DETC99/VIB-8329

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Topics: Artificial neural networks, Flaw detection, Mechanical drives

Proceedings Papers

Determination of Optimum Sensor Positions for Defect Detection on Revolving Machines by a Finite Element Vibration Analysis

F. Bogard, K. Debray, Y. Q. Guo, A. Pavan

Proc. ASME. IDETC-CIE2000, Volume 2: 26th Design Automation Conference, 1017-1022, September 10–13, 2000

Paper No: DETC2000/DAC-14506

DOI: https://doi.org/10.1115/DETC2000/DAC-14506

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Topics: Finite element analysis, Flaw detection, Machinery, Sensors, Vibration analysis, Bearings, Emission spectroscopy, Spectroscopy, Vibration, Finite element model

Proceedings Papers

A Novel Strategy for Probability-Based Failure Avoidance of Operating Technical Systems

Dirk Söffker

Proc. ASME. IDETC-CIE2001, Volume 5: 15th Reliability, Stress Analysis, and Failure Prevention Conference; International Issues in Engineering Design, 39-45, September 9–12, 2001

Paper No: DETC2001/RSAFP-21745

DOI: https://doi.org/10.1115/DETC2001/RSAFP-21745

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Topics: Failure, Probability, Reliability, Stress, Flaw detection, Quality control, Safety, Tires

Proceedings Papers

Parametric Identification and Fault Detection in Vehicle Models With Nonlinear Suspension

P. Metallidis, G. Verros, S. Natsiavas, C. Papadimitriou

Proc. ASME. IDETC-CIE2001, Volume 6A: 18th Biennial Conference on Mechanical Vibration and Noise, 933-941, September 9–12, 2001

Paper No: DETC2001/VIB-21411

DOI: https://doi.org/10.1115/DETC2001/VIB-21411

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Topics: Flaw detection, Vehicles, Damping, Suspension systems, Compression, Dampers, Degrees of freedom, Dynamic response, Excitation, Roads

Proceedings Papers

Using Triaxial Accelerometer Data for Vibration Monitoring of Helicopter Gearboxes

Irem Y. Tumer, Edward M. Huff

Proc. ASME. IDETC-CIE2001, Volume 6C: 18th Biennial Conference on Mechanical Vibration and Noise, 3161-3171, September 9–12, 2001

Paper No: DETC2001/VIB-21755

DOI: https://doi.org/10.1115/DETC2001/VIB-21755

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Topics: Accelerometers, Mechanical drives, Vibration, Flaw detection, Flight, Monitoring systems, Principal component analysis, Vibration analysis, Vibration measurement, Vibration monitors

Proceedings Papers

Cyclostationary Analysis of Rolling Element Bearing Vibration Signals

George N. Glossiotis, Ioannis A. Antoniadis

Proc. ASME. IDETC-CIE2001, Volume 6C: 18th Biennial Conference on Mechanical Vibration and Noise, 3197-3204, September 9–12, 2001

Paper No: DETC2001/VIB-21759

DOI: https://doi.org/10.1115/DETC2001/VIB-21759

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Topics: Bearings, Rolling bearings, Signals, Vibration, Flaw detection, Signal processing, Simulation results, Statistics, Vibration analysis

Proceedings Papers

Sensorless Early Detection of Mechanical Faults: Developments in Smart Rotating Machines

Alexander G. Parlos, Kyusung Kim, Raj M. Bharadwaj

Proc. ASME. IDETC-CIE2001, Volume 6C: 18th Biennial Conference on Mechanical Vibration and Noise, 3127-3134, September 9–12, 2001

Paper No: DETC2001/VIB-21750

DOI: https://doi.org/10.1115/DETC2001/VIB-21750

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Topics: Machinery, Failure, Failure mechanisms, Flaw detection, Sensors, Signals, Stress, Transients (Dynamics), Artificial neural networks, Bearings

2 3 4

NARROW

A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes

Synthetic Image Assisted Deep Learning Framework for Detecting Defects During Composite Sheet Layup

A Computational Framework for the Evaluation of Resilience in Deep Space Habitat Systems

Towards Generalization of Intelligent Fault Detection for Roller Element Bearings via Distinct Dataset Transfer Learning

The MAIANDROS System for Random-Vibration-Based On-Board Railway Vehicle and Track Monitoring

Crack Detection in Turbo Rotors Vibrational Analysis and Fault Detection

Fault Detection and Isolation Procedures Contribute to Damage Diagnosis of Rotating Machinery

A New Model-Based Tool for Fault Detection and Isolation in Machine- and Rotordynamics

Improving Manufacturing Precision Using the Karhunen-Loève Transform

Identification of Fault Signals in Rotating Machinery Using Higher Order Time Frequency Analysis

Wavelet Novelty Measure for Machinery Diagnostics

Using Model Updating Technique to Train Neural Network for Fault Detection

A New Strategy for Detecting Gear Faults Using Denoising With the Orthogonal Discrete Wavelet Transform (ODWT)

Gearbox Fault Detection Using Neural Networks Technology

Determination of Optimum Sensor Positions for Defect Detection on Revolving Machines by a Finite Element Vibration Analysis

A Novel Strategy for Probability-Based Failure Avoidance of Operating Technical Systems

Parametric Identification and Fault Detection in Vehicle Models With Nonlinear Suspension

Using Triaxial Accelerometer Data for Vibration Monitoring of Helicopter Gearboxes

Cyclostationary Analysis of Rolling Element Bearing Vibration Signals

Sensorless Early Detection of Mechanical Faults: Developments in Smart Rotating Machines

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