Active Learning Polynomial-Chaos Kriging Based Uncertainty Quantification and Reliability Analysis of a Spline-Shafting System-Reference-Cited by-同舟云学术

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Active Learning Polynomial-Chaos Kriging Based Uncertainty Quantification and Reliability Analysis of a Spline-Shafting System

Published:2023-10-12 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)
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Author:

Ma Xinxing¹,Zhong Yucai¹,Cao Peng²,Song Yuxiang¹,Zhang Zhenguo¹

Affiliation:

1. Shanghai Jiaotong University,Shanghai,China

2. AECC Hunan Aviation Powerplant Research Institute,Zhuzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10482420/10482375/10482481.pdf?arnumber=10482481

Reference12 articles.

1. Dynamic modelling of gear–spline system with nonuniform spline clearance and wear evolution of spline

2. A Review of Aviation Spline Research

3. Self-excited vibration suppression of a spline-shafting system using a nonlinear energy sink

4. Analytical and experimental investigation on stability of rotor system with spline coupling considering torque, friction coefficient and external damping

5. Modelling and dynamic analysis of spline-connected multi-span rotor system

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