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Proceedings Papers

Exploring the Role of Individual Differences in System Interpretation

Apurva R. Patel, Alexander R. Murphy, Joshua D. Summers, Chiradeep Sen
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A040, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117222
https://doi.org/10.1115/DETC2023-117222
View Paper titled, Exploring the Role of Individual Differences in System Interpretation
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Topics: Design, Engineering design, Flaw detection, Instrumentation, Modeling, Students, Testing
Proceedings Papers

Gearbox Fault Detection via Physics-Informed Parallel Deep Learning Model Architecture

Qianyu Zhou, Jiong Tang
Proc. ASME. IDETC-CIE2023, Volume 11: 2023 International Power Transmission and Gearing Conference (PTG), V011T11A018, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116599
https://doi.org/10.1115/DETC2023-116599
View Paper titled, Gearbox Fault Detection via Physics-Informed Parallel Deep Learning Model Architecture
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Topics: Flaw detection, Gears, Mechanical drives, Physics, Wavelet transforms
Proceedings Papers

Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection

Kai Zhou, Yang Zhang, Jiong Tang
Proc. ASME. IDETC-CIE2023, Volume 12: 35th Conference on Mechanical Vibration and Sound (VIB), V012T12A021, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-112654
https://doi.org/10.1115/DETC2023-112654
View Paper titled, Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection
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Topics: Bearings, Flaw detection, Rolling bearings
Proceedings Papers

Sensor Network Design for Permanent Magnet Synchronous Motor Fault Diagnosis

Sara Kohtz, Junhan Zhao, Anabel Renteria, Anand Vikas Lalwani, Xiaolong Zhang, Kiruba Sivasubramaniam Haran, Debbie Senesky, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A050, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116972
https://doi.org/10.1115/DETC2023-116972
View Paper titled, Sensor Network Design for Permanent Magnet Synchronous Motor Fault Diagnosis
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Topics: Design, Engines, Fault diagnosis, Flaw detection, Genetic algorithms, Motors, Permanent magnets, Sensor networks, Sensor placement
Proceedings Papers

Multimodal Sensor Fusion for Real-Time Location-Dependent Defect Detection in Laser-Directed Energy Deposition

Lequn Chen, Xiling Yao, Wenhe Feng, Youxiang Chew, Seung Ki Moon
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A069, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-110284
https://doi.org/10.1115/DETC2023-110284
View Paper titled, Multimodal Sensor Fusion for Real-Time Location-Dependent Defect Detection in Laser-Directed Energy Deposition
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Topics: Artificial neural networks, Flaw detection, Lasers, Sensors
Proceedings Papers

Supporting Condition-Based Maintenance for Rotary Systems Under Multiple Fault Scenarios

Larry Marshall, Jr., David Jensen, Han Hu
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A075, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116470
https://doi.org/10.1115/DETC2023-116470
View Paper titled, Supporting Condition-Based Maintenance for Rotary Systems Under Multiple Fault Scenarios
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Topics: Maintenance, Machinery, Flaw detection, Algorithms, Ball bearings, Bearings, Decision making, Engineering prototypes, Fault diagnosis, Machine learning
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
Publisher: American Society of Mechanical Engineers
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
Publisher: American Society of Mechanical Engineers
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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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
Publisher: American Society of Mechanical Engineers
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

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
Publisher: American Society of Mechanical Engineers
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
Publisher: American Society of Mechanical Engineers
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