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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
https://doi.org/10.1115/DETC2022-89164
View Paper titled, A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes
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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
https://doi.org/10.1115/DETC2022-90084
View Paper titled, Synthetic Image Assisted Deep Learning Framework for Detecting Defects During Composite Sheet Layup
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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
https://doi.org/10.1115/DETC2022-89132
View Paper titled, A Computational Framework for the Evaluation of Resilience in Deep Space Habitat Systems
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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
https://doi.org/10.1115/DETC2021-67773
View Paper titled, Towards Generalization of Intelligent Fault Detection for Roller Element Bearings via Distinct Dataset Transfer Learning
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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
https://doi.org/10.1115/DETC2021-70166
View Paper titled, The MAIANDROS System for Random-Vibration-Based On-Board Railway Vehicle and Track Monitoring
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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
https://doi.org/10.1115/DETC1993-0203
View Paper titled, Crack Detection in Turbo Rotors Vibrational Analysis and Fault Detection
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Topics: Crack detection, Flaw detection, Rotors, Turbochargers, Fracture (Materials), Attractors, Bearings, Dynamic systems, Non-smooth dynamics, State estimation
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
https://doi.org/10.1115/DETC1995-0157
View Paper titled, A New Model-Based Tool for Fault Detection and Isolation in Machine- and Rotordynamics
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Topics: Flaw detection, Machinery, Rotordynamics, Signals, Decision making, Failure, Actuators, Crack detection, Manufacturing, Monitoring systems
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
https://doi.org/10.1115/DETC1995-0705
View Paper titled, Fault Detection and Isolation Procedures Contribute to Damage Diagnosis of Rotating Machinery
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Topics: Damage, Flaw detection, Machinery, Rotors, Algorithms, Finite element analysis, Fracture (Materials), Kalman filters, Nonlinear systems, Signals
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
https://doi.org/10.1115/DETC97/DFM-4347
View Paper titled, Improving Manufacturing Precision Using the Karhunen-Loève Transform
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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
https://doi.org/10.1115/DETC97/VIB-4137
View Paper titled, Identification of Fault Signals in Rotating Machinery Using Higher Order Time Frequency Analysis
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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
https://doi.org/10.1115/DETC97/VIB-4140
View Paper titled, Wavelet Novelty Measure for Machinery Diagnostics
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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
https://doi.org/10.1115/DETC97/VIB-4233
View Paper titled, Using Model Updating Technique to Train Neural Network for Fault Detection
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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
https://doi.org/10.1115/DETC99/VIB-8326
View Paper titled, A New Strategy for Detecting Gear Faults Using Denoising With the Orthogonal Discrete Wavelet Transform (ODWT)
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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
https://doi.org/10.1115/DETC99/VIB-8329
View Paper titled, Gearbox Fault Detection Using Neural Networks Technology
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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
https://doi.org/10.1115/DETC2000/DAC-14506
View Paper titled, Determination of Optimum Sensor Positions for Defect Detection on Revolving Machines by a Finite Element Vibration Analysis
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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
https://doi.org/10.1115/DETC2001/RSAFP-21745
View Paper titled, A Novel Strategy for Probability-Based Failure Avoidance of Operating Technical Systems
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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
https://doi.org/10.1115/DETC2001/VIB-21411
View Paper titled, Parametric Identification and Fault Detection in Vehicle Models With Nonlinear Suspension
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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
https://doi.org/10.1115/DETC2001/VIB-21755
View Paper titled, Using Triaxial Accelerometer Data for Vibration Monitoring of Helicopter Gearboxes
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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
https://doi.org/10.1115/DETC2001/VIB-21759
View Paper titled, Cyclostationary Analysis of Rolling Element Bearing Vibration Signals
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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
https://doi.org/10.1115/DETC2001/VIB-21750
View Paper titled, Sensorless Early Detection of Mechanical Faults: Developments in Smart Rotating Machines
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Topics: Machinery, Failure, Failure mechanisms, Flaw detection, Sensors, Signals, Stress, Transients (Dynamics), Artificial neural networks, Bearings