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Proceedings Papers

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

Huiru Li, Jianhua Yin, Xiaoping Du
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A001, August 14–17, 2022
Paper No: DETC2022-88277
DOI: https://doi.org/10.1115/DETC2022-88277
View Paper titled, Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events
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Topics: Physics, Reliability, Uncertainty, Uncertainty quantification, Artificial neural networks, Errors, Machine learning, Design, Linkages, Regression models
Proceedings Papers

Teaching Machine Learning for Analysis and Design to Mechanical Engineering Students

Xiaoping Du, Jianhua Yin
Proc. ASME. IDETC-CIE2022, Volume 4: 19th International Conference on Design Education (DEC), V004T04A007, August 14–17, 2022
Paper No: DETC2022-87482
DOI: https://doi.org/10.1115/DETC2022-87482
View Paper titled, Teaching Machine Learning for Analysis and Design to Mechanical Engineering Students
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Topics: Design, Machine learning, Mechanical engineering, Students, Teaching, Education, Machining
Proceedings Papers

High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

Jianhua Yin, Xiaoping Du
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A012, August 17–19, 2021
Paper No: DETC2021-70067
DOI: https://doi.org/10.1115/DETC2021-70067
View Paper titled, High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables
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Topics: Accounting, Dimensions, Event history analysis, Reliability
Journal Articles

High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

Jianhua Yin, Xiaoping Du
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041702.
Paper No: MD-21-1105
DOI: https://doi.org/10.1115/1.4051982
Published Online: November 11, 2021
View Article titled, High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables
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Topics: Dimensions, Event history analysis, Reliability, Failure, Probability
Includes: Supplementary data
Journal Articles

A Safety Factor Method for Reliability-Based Component Design

Jianhua Yin, Xiaoping Du
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. September 2021, 143(9): 091705.
Paper No: MD-20-1572
DOI: https://doi.org/10.1115/1.4049881
Published Online: March 19, 2021
View Article titled, A Safety Factor Method for Reliability-Based Component Design
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Topics: Design, Reliability, Safety
Proceedings Papers

A Practical Safety Factor Method for Reliability-Based Component Design

Jianhua Yin, Xiaoping Du
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A037, August 17–19, 2020
Paper No: DETC2020-22030
DOI: https://doi.org/10.1115/DETC2020-22030
View Paper titled, A Practical Safety Factor Method for Reliability-Based Component Design
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Topics: Design, Reliability, Safety