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Journal Articles

Adaptive First-Crossing Approach for Life-Cycle Reliability Analysis

Shui Yu, Peng Guo, Xiao Wu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2023, 145(9): 091707.
Paper No: MD-23-1074
https://doi.org/10.1115/1.4062732
Published Online: June 26, 2023
View Article titled, Adaptive First-Crossing Approach for Life-Cycle Reliability Analysis
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Topics: Cycles, Event history analysis, Reliability, Support vector machines, Alkaline fuel cells
Journal Articles

Predicting Design Performance Utilizing Automated Topic Discovery

Zachary Ball, Kemper Lewis
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2020, 142(12): 121703.
Paper No: MD-20-1144
https://doi.org/10.1115/1.4048455
Published Online: October 7, 2020
View Article titled, Predicting Design Performance Utilizing Automated Topic Discovery
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Topics: Algorithms, Artificial neural networks, Collaboration, Competencies, Design, Innovation, Modeling, Teams, Support vector machines, Engineering design
Journal Articles

Sequential Radial Basis Function-Based Optimization Method Using Virtual Sample Generation

Yifan Tang, Teng Long, Renhe Shi, Yufei Wu, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2020, 142(11): 111701.
Paper No: MD-19-1417
https://doi.org/10.1115/1.4046650
Published Online: May 21, 2020
View Article titled, Sequential Radial Basis Function-Based Optimization Method Using Virtual Sample Generation
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Topics: Optimization, Support vector machines, Design
Journal Articles

A Comparative Evaluation of Supervised Machine Learning Classification Techniques for Engineering Design Applications

Conner Sharpe, Tyler Wiest, Pingfeng Wang, Carolyn Conner Seepersad
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121404.
Paper No: MD-19-1180
https://doi.org/10.1115/1.4044524
Published Online: October 3, 2019
View Article titled, A Comparative Evaluation of Supervised Machine Learning Classification Techniques for Engineering Design Applications
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Topics: Algorithms, Design, Engineering design, Machine learning, Optimization, Support vector machines, Artificial neural networks
Includes: Supplementary data
Journal Articles

Integration of Statistics- and Physics-Based Methods—A Feasibility Study on Accurate System Reliability Prediction

Zhengwei Hu, Xiaoping Du
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. July 2018, 140(7): 074501.
Paper No: MD-17-1638
https://doi.org/10.1115/1.4039770
Published Online: May 11, 2018
View Article titled, Integration of Statistics- and Physics-Based Methods—A Feasibility Study on Accurate System Reliability Prediction
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Topics: Physics, Reliability, Statistics, Support vector machines, Failure mechanisms, Probability
Journal Articles

The Relationship Between Design Outcomes and Mental States During Ideation

Wan-Lin Hu, Joran W. Booth, Tahira Reid
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. May 2017, 139(5): 051101.
Paper No: MD-16-1612
https://doi.org/10.1115/1.4036131
Published Online: March 21, 2017
View Article titled, The Relationship Between Design Outcomes and Mental States During Ideation
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Topics: Design, Electroencephalography, Performance, Support vector machines, Creativity
Journal Articles

Nonlinear Assembly Tolerance Design for Spatial Mechanisms Based on Reliability Methods

Yin Yin, Nie Hong, Feng Fei, Wei Xiaohui, Ni Huajin
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2017, 139(3): 032301.
Paper No: MD-16-1419
https://doi.org/10.1115/1.4035433
Published Online: January 12, 2017
View Article titled, Nonlinear Assembly Tolerance Design for Spatial Mechanisms Based on Reliability Methods
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Topics: Chain, Design, Dimensions, Manufacturing, Artificial neural networks, Response surface methodology, Gears, Reliability, Probability, Support vector machines
Journal Articles

Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation

Shruthi Bezawada, Qianyu Hu, Allison Gray, Timothy Brick, Conrad Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2017, 139(2): 021102.
Paper No: MD-16-1285
https://doi.org/10.1115/1.4035428
Published Online: January 6, 2017
View Article titled, Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation
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Topics: Design, Engineering prototypes, Feedback, Regression models, Support vector machines, Machinery, Teams
Journal Articles

Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews

Feng Zhou, Roger Jianxin Jiao, Julie S. Linsey
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. July 2015, 137(7): 071401.
Paper No: MD-14-1525
https://doi.org/10.1115/1.4030159
Published Online: July 1, 2015
View Article titled, Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews
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Topics: Algorithms, Construction, Data collection, Databases, Design, Fire, Preferences, Support vector machines, Semantics, Redundancy (Engineering)
Journal Articles

Exploring Automated Text Classification to Improve Keyword Corpus Search Results for Bioinspired Design

Michael W. Glier, Daniel A. McAdams, Julie S. Linsey
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2014, 136(11): 111103.
Paper No: MD-13-1457
https://doi.org/10.1115/1.4028167
Published Online: October 8, 2014
View Article titled, Exploring Automated Text Classification to Improve Keyword Corpus Search Results for Bioinspired Design
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Topics: Biology, Biomimetics, Design, Clocks, Algorithms, Support vector machines
Journal Articles

Characterizing Uncertainty Attributable to Surrogate Models

Jie Zhang, Souma Chowdhury, Ali Mehmani, Achille Messac
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2014, 136(3): 031004.
Paper No: MD-12-1608
https://doi.org/10.1115/1.4026150
Published Online: January 10, 2014
View Article titled, Characterizing Uncertainty Attributable to Surrogate Models
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Topics: Errors, Modeling, Uncertainty, Design, Wind farms, Support vector machines
Journal Articles

A Design Preference Elicitation Query as an Optimization Process

Yi Ren, Panos Y. Papalambros
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2011, 133(11): 111004.
https://doi.org/10.1115/1.4005104
Published Online: November 11, 2011
View Article titled, A Design Preference Elicitation Query as an Optimization Process
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Topics: Algorithms, Design, Optimization, Preferences, Support vector machines, Computers, Vehicles
Journal Articles

Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems

Richard J. Malak, Jr., Christiaan J. J. Paredis
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2010, 132(10): 101001.
https://doi.org/10.1115/1.4002151
Published Online: September 30, 2010
View Article titled, Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems
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Topics: Algorithms, Design, Engines, Machine learning, Modeling, Optimization, Support vector machines, Fittings
Journal Articles

Reliability-Based Optimal Design and Tolerancing for Multibody Systems Using Explicit Design Space Decomposition

Henry Arenbeck, Samy Missoum, Anirban Basudhar, Parviz Nikravesh
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2010, 132(2): 021010.
https://doi.org/10.1115/1.4000760
Published Online: February 9, 2010
View Article titled, Reliability-Based Optimal Design and Tolerancing for Multibody Systems Using Explicit Design Space Decomposition
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Topics: Design, Failure, Multibody systems, Optimization, Probability, Reliability, Simulation, Support vector machines, Stress, Reliability-based optimization
Journal Articles

Analysis of Support Vector Regression for Approximation of Complex Engineering Analyses

Stella M. Clarke, Jan H. Griebsch, Timothy W. Simpson
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2005, 127(6): 1077–1087.
https://doi.org/10.1115/1.1897403
Published Online: August 13, 2004
View Article titled, Analysis of Support Vector Regression for Approximation of Complex Engineering Analyses
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Topics: Approximation, Function approximation, Support vector machines, Errors, Response surface methodology, Splines