Search Results | MSEC | ASME Digital Collection

1-17 of 17

Sort by

Sort Order Select

Proceedings Papers

Dynamic Simulation Analysis of Multi-Support Rotary Shaft System

Jiangnuo Mei, Yinhuan Zheng, Hong Lu, Zhangjie Li, Wei Zhang, Di Peng, Huang Lin, Qiong Liu

Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T04A008, June 27–July 1, 2022

Paper No: MSEC2022-85515

DOI: https://doi.org/10.1115/MSEC2022-85515

View Paper

Topics: Collisions (Physics), Dynamic analysis, Friction, Simulation analysis, Ships, Propulsion, Brakes, Flaw detection, Stress, Computer software

Proceedings Papers

A Deterministic Inspection of Surface Preparation for Metalization

Shiva Shokri, Pooria Sedigh, Mehdi Hojjati, Tsz-Ho Kwok

Paper No: MSEC2022-85334

DOI: https://doi.org/10.1115/MSEC2022-85334

View Paper

Topics: Inspection, Surface preparation, Blasting, Coating processes, Coatings, Composite materials, Metals, Resins, Manufacturing, Microscopes

Proceedings Papers

A Semi-Supervised Multiclass Anomaly Detection Approach for Partially Labeled In-Process Measurement Data

Joseph Cohen, Jun Ni

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A004, June 21–25, 2021

Paper No: MSEC2021-63465

DOI: https://doi.org/10.1115/MSEC2021-63465

View Paper

Topics: Algorithms, Artificial intelligence, Dimensions, Feature extraction, Flaw detection, Integrated circuit fabrication, Machine learning, Principal component analysis

Proceedings Papers

Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection

Jiayu Huang, Nurretin Sergin, Akshay Dua, Erfan Bank Tavakoli, Hao Yan, Fengbo Ren, Feng Ju

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A037, September 3, 2020

Paper No: MSEC2020-8261

DOI: https://doi.org/10.1115/MSEC2020-8261

View Paper

Topics: Artificial neural networks, Inspection, Algorithms, Flaw detection, Machine learning, Manufacturing systems, Support vector machines, Visualization

Proceedings Papers

Class Incremental Fault Detection and Diagnosis With Unlabeled Condition Monitoring Data

Xiaomeng Peng, Xiaoning Jin, Shiming Duan, Chaitanya Sankavaram

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A031, September 3, 2020

Paper No: MSEC2020-8431

DOI: https://doi.org/10.1115/MSEC2020-8431

View Paper

Topics: Condition monitoring, Flaw detection

Proceedings Papers

A Hybrid Approach for Heterogeneous High-Density Data for Surface Topology Classification: A Case Study

Romina Dastoorian, Lee Wells, Wenmeng Tian

Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A019, June 10–14, 2019

Paper No: MSEC2019-2840

DOI: https://doi.org/10.1115/MSEC2019-2840

View Paper

Topics: Additive manufacturing, Density, Flaw detection, Inspection, Manufacturing, Measurement systems, Optical scanners, Principal component analysis, Quality control, Topology

Proceedings Papers

On-Line Detection of Friction Stir Welded Joints by High Temperature Phased Array Ultrasonic Inspection and Control of Weld Process Parameters

Daniel Huggett, Muhammad Wahab, T. W. Liao, Ayman Okeil

Proc. ASME. MSEC2017, Volume 1: Processes, V001T02A002, June 4–8, 2017

Paper No: MSEC2017-2692

DOI: https://doi.org/10.1115/MSEC2017-2692

View Paper

Topics: Friction, High temperature, Inspection, Welded joints, Nondestructive evaluation, Signals, Welding, Aluminum alloys, Computer software, Flaw detection

Proceedings Papers

Design of a Tip Based In-Line Metrology System for Roll-to-Roll Manufactured Flexible Electronic Devices

Liam G. Connolly, Michael Cullinan

Proc. ASME. MSEC2017, Volume 1: Processes, V001T02A068, June 4–8, 2017

Paper No: MSEC2017-2972

DOI: https://doi.org/10.1115/MSEC2017-2972

View Paper

Topics: Design, Flexible electronics, Metrology, Atomic force microscopy, Bending (Stress), Finite element analysis, Manufacturing, Resolution (Optics), Electronics, Flaw detection

Proceedings Papers

Nonlinear Parameter Estimation in a Typical Industrial Air Handler Unit

Lujia Feng, Pierluigi Pisu, Laine Mears, Jörg Schulte

Proc. ASME. MSEC2017, Volume 4: Bio and Sustainable Manufacturing, V004T05A033, June 4–8, 2017

Paper No: MSEC2017-2994

DOI: https://doi.org/10.1115/MSEC2017-2994

View Paper

Topics: Parameter estimation, Design, HVAC equipment, Manufacturing, Modeling, Air conditioning, Assembly lines, Commercial construction, Control equipment, Control systems

Proceedings Papers

Sensor-Based Online Process Fault Detection in Additive Manufacturing

Prahalad K. Rao, Jia (Peter) Liu, David Roberson, Zhenyu (James) Kong

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A010, June 8–12, 2015

Paper No: MSEC2015-9389

DOI: https://doi.org/10.1115/MSEC2015-9389

View Paper

Topics: Additive manufacturing, Flaw detection, Sensors, Accelerometers, Accuracy and precision, Artificial neural networks, Decision making, Failure, Failure mechanisms, Machinery

Proceedings Papers

Layerwise Automated Visual Inspection in Laser Powder-Bed Additive Manufacturing

Masoumeh Aminzadeh, Thomas Kurfess

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A011, June 8–12, 2015

Paper No: MSEC2015-9393

DOI: https://doi.org/10.1115/MSEC2015-9393

View Paper

Topics: Additive manufacturing, Lasers, Optical quality control, Image segmentation, Flaw detection, Algorithms, Chaos, Image processing, Manufacturing, Metals

Proceedings Papers

An Anomaly Detection and Diagnosis Method Based on Real-Time Health Monitoring for Progressive Stamping Processes

Huanyi Shui, Xiaoning Jin, Jun Ni

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T05A021, June 8–12, 2015

Paper No: MSEC2015-9420

DOI: https://doi.org/10.1115/MSEC2015-9420

View Paper

Topics: Metal stamping, Signals, Emission spectroscopy, Fault diagnosis, Flaw detection, Manufacturing, Quality control charts, Spectroscopy

Proceedings Papers

Fault Diagnosis of Rolling Bearings Based on Multi-Scale Entropy and Ensembled Artificial Neural Network

Fen Chen, Quan Liu, Qin Wei, Deng Ting, Yan Ting, Su Wenqin, Peng Bingjie, Lei Zhao

Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A041, June 9–13, 2014

Paper No: MSEC2014-4033

DOI: https://doi.org/10.1115/MSEC2014-4033

View Paper

Topics: Artificial neural networks, Entropy, Fault diagnosis, Rolling bearings, Cycles, Feature extraction, Flaw detection, Machinery, Reliability, Time series

Proceedings Papers

Application of Envelop Analysis and Wavelet Transform for Fault Detection in Local Gearboxes Failure

Dong Sik Gu, Byeong Keun Choi, Byeong Su Kim, Jeong Hwan Lee, Jong Duk Son, Bo Suk Yang, Achmad Widod

Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2, 579-583, October 7–10, 2008

Paper No: MSEC_ICM&P2008-72546

DOI: https://doi.org/10.1115/MSEC_ICMP2008-72546

View Paper

Topics: Failure, Flaw detection, Wavelet transforms, Signals, Bearings, Gears, Machinery, Mechanical drives, Acoustic emissions, Acoustics

Proceedings Papers

Quality Monitoring and Fault Detection on Stamped Parts Using DCA and LDA Image Recognition Techniques

Qiangsheng Zhao, Jaime A. Camelio

Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1, 495-502, October 7–10, 2008

Paper No: MSEC_ICM&P2008-72218

DOI: https://doi.org/10.1115/MSEC_ICMP2008-72218

View Paper

Topics: Algorithms, Dimensional metrology, Facial recognition, Flaw detection, Fracture (Materials), Image processing, Manufacturing, Principal component analysis, Sheet metal

Proceedings Papers

Assembly Faults Diagnosis Using Neural Networks and Process Knowledge

Qiangsheng Zhao, Jaime Camelio

Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 565-572, October 15–18, 2007

Paper No: MSEC2007-31095

DOI: https://doi.org/10.1115/MSEC2007-31095

View Paper

Topics: Artificial neural networks, Manufacturing, Statistical process control, Fault diagnosis, Modeling, Automobiles, Doors, Feedforward control, Flaw detection, Quality control charts

Proceedings Papers

A New Method for Feature Selection and Gear Defect Detection

Yan Chen, Haixia Wang, Jay Lee

Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 483-487, October 15–18, 2007

Paper No: MSEC2007-31091

DOI: https://doi.org/10.1115/MSEC2007-31091

View Paper

Topics: Feature selection, Flaw detection, Gears, Entropy, Noise (Sound), Self-organization

NARROW

Dynamic Simulation Analysis of Multi-Support Rotary Shaft System

A Deterministic Inspection of Surface Preparation for Metalization

A Semi-Supervised Multiclass Anomaly Detection Approach for Partially Labeled In-Process Measurement Data

Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection

Class Incremental Fault Detection and Diagnosis With Unlabeled Condition Monitoring Data

A Hybrid Approach for Heterogeneous High-Density Data for Surface Topology Classification: A Case Study

On-Line Detection of Friction Stir Welded Joints by High Temperature Phased Array Ultrasonic Inspection and Control of Weld Process Parameters

Design of a Tip Based In-Line Metrology System for Roll-to-Roll Manufactured Flexible Electronic Devices

Nonlinear Parameter Estimation in a Typical Industrial Air Handler Unit

Sensor-Based Online Process Fault Detection in Additive Manufacturing

Layerwise Automated Visual Inspection in Laser Powder-Bed Additive Manufacturing

An Anomaly Detection and Diagnosis Method Based on Real-Time Health Monitoring for Progressive Stamping Processes

Fault Diagnosis of Rolling Bearings Based on Multi-Scale Entropy and Ensembled Artificial Neural Network

Application of Envelop Analysis and Wavelet Transform for Fault Detection in Local Gearboxes Failure

Quality Monitoring and Fault Detection on Stamped Parts Using DCA and LDA Image Recognition Techniques

Assembly Faults Diagnosis Using Neural Networks and Process Knowledge

A New Method for Feature Selection and Gear Defect Detection

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only