凌春燕

副教授

联系方式：lingchunyan@shu.edu.cn

l 个人简介

凌春燕，上海大学机自学院副教授。从事飞行器结构机构可靠性分析、灵敏度分析及优化设计研究，在结构机构系统可靠性分析及设计等方面取得系列成果：攻克了高维小失效概率情况下可靠性分析及设计效率低下的问题，实现了混合不确定性下工程系统的高效可靠性/稳健设计及运维管理优化；参与国自然面上项目2项；发表高水平论文30余篇；获发明专利2项；参与编写专著1部。

l 主要研究领域

1、可靠性评估

2、重要性分析

3、故障诊断与健康管理

4、可靠性/稳健优化设计

5、可靠性运维管理

l 代表性成果

在《IEEE Transactions on Reliability》、《Reliability Engineering & System Safety》、《IEEE Transactions on Fuzzy Systems》及《Applied Mathematical Modelling》等国内外学术期刊发表SCI/EI论文30余篇、获授权发明专利2项、参与编写专著1部。

▪ 论文

1、 Yang LC, Wang C, Ling CY^*, Xie M. Reliability evaluation of an imprecise multistate system with mixed uncertainty. IEEE Transactions on Reliability, 2024, 73 (1): 478-491.

2、 Ling CY, Yang LC^*, Feng KX, Kuo W. Survival signature based robust redundancy allocation under imprecise probability. Reliability Engineering & System Safety, 2023, 239: 109510.

3、 Lei JZ, Ling CY^*, Xie M, Kuo W. Multitype optimal component allocation of multicomponent systems considering fuzzy state. IEEE Transactions on Fuzzy Systems, 2023, 31 (7): 2197-2209.

4、 Ling CY^*, Lei JZ, Kuo W. Bayesian-support vector machine for optimal reliability design of modular systems. Reliability Engineering & System Safety, 2022, 228: 108840.

5、 Ling CY^*, Kuo W, Xie M. An overview of adaptive-surrogate-model-assisted methods for reliability-based design optimization. IEEE Transactions on Reliability, 2022, 99: 1-22.

6、 Ling CY, Wang L, Lei JZ. Importance analysis of different components in a multicomponent system under fuzzy inputs. Structural & Multidisciplinary Optimization, 2022, 65 (3): 1-16.

7、 Ling CY, Lu ZZ, Zhang WX. Bayesian support vector regression for reliability-based design optimization. AIAA Journal, 2021, 59 (12): 5141-5157.

8、 Ling CY, Lu ZZ. Support vector machine-based importance sampling for rare event estimation. Structural & Multidisciplinary Optimization, 2021, 63: 1609-1631.

9、 Ling CY, Lu ZZ. Adaptive Kriging coupled with importance sampling strategies for time-variant hybrid reliability analysis. Applied Mathematical Modelling, 2020, 77: 1820-1841.

10、 Ling CY, Lu ZZ, Zhang XB. An efficient method based on AK-MCS for estimating failure probability function. Reliability Engineering & System Safety, 2020, 201: 106975.

11、 Ling CY, Lu ZZ, Zhang XB, Zhou ST. An efficient method for estimating time-dependent global reliability sensitivity. Structural & Multidisciplinary Optimization, 2020, 62: 851-871.

12、 Ling CY, Lu ZZ, Zhang XB, Zhou ST. Safety analysis for the posfust reliability model under possibilistic input and fuzzy state. Aerospace Science & Technology, 2020, 99: 105739

13、 Ling CY, Lu ZZ, Sun B, Wang MJ. An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability. Fuzzy Sets & Systems, 2020, 387: 89-107.

14、 Ling CY, Lu ZZ, Cheng K, Sun B. An efficient method for estimating global reliability sensitivity indices. Probabilistic Engineering Mechanics, 2019, 56: 35-49.

15、 Ling CY, Lu ZZ, Feng KX, Sun B. Efficient numerical simulation methods for estimating fuzzy failure probability based importance measure indices. Structural & Multidisciplinary Optimization, 2019, 59 (2): 577-593.

16、 Ling CY, Lu ZZ, Zhu XM. Efficient methods by active learning Kriging coupled with variance reduction based sampling methods for time-dependent failure probability. Reliability Engineering & System Safety, 2019, 188: 23-35.

17、 Ling CY, Lu ZZ, Feng KX. An efficient method combining adaptive Kriging and fuzzy simulation for estimating failure credibility. Aerospace Science & Technology, 2019, 92: 620-634.

18、 Ling CY, Lu ZZ, Feng KX, Zhang XB. A coupled subset simulation and active learning kriging reliability analysis method for rare failure events. Structural & Multidisciplinary Optimization, 2019, 60: 2325-2341.

▪ 著作

吕震宙，员婉莹，冯凯旋，凌春燕，周易成. 可靠性分析设计理论及其在涡轮部件中的应用. 科学出版社，北京，2023.

▪ 成果展示