A reliability‐based robust optimization design for the drum brake using adaptive Kriging surrogate model-Reference-Cited by-同舟云学术

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A reliability‐based robust optimization design for the drum brake using adaptive Kriging surrogate model

Published:2022-11-20 Issue:1 Volume:39 Page:454-471
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Yang Zhou¹,Pak Unsong¹²,Kwon Cholu³,Zhang Yimin⁴

Affiliation:

1. School of Mechanical Engineering & Automation Northeastern University Shenyang China

2. Pyongyang Transportation University Pyongyang Democratic People's Republic of Korea

3. Institute of Mechanical Engineering State Academy of Sciences Pyongyang Democratic People's Republic of Korea

4. Equipment Reliability Institute Shenyang University of Chemical Technology Shenyang China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3230

Reference39 articles.

1. An approach of robust reliability design for mechanical components

2. Neurocomputing strategies for solving reliability‐robust design optimization problems

3. Reliability-based robust assessment for multiobjective optimization design of improving occupant restraint system performance

4. Efficient reliability-based robust design optimization of structures under extreme wind in dual response surface framework

5. Distributed adaptive sliding mode control for attitudes synchronization of multiple autonomous underwater vehicles

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2. Reliability Research of Wireless Energy Transmitting Urethral Valve Based on FTA-AK-SS;Journal of Shanghai Jiaotong University (Science);2024-02-22

3. Study on reliability of emergency braking performance of high-speed and heavy-load monorail crane;Eksploatacja i Niezawodność – Maintenance and Reliability;2023-11-10

4. Dynamic Reliability-Based Optimization for the Graduation Precision of End Gear Tray;2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR);2023-06

5. Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models;Quality and Reliability Engineering International;2023-03-10

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