论文与成果

学术论文

2026

  1. Teng D, Wu PS, Wang RL, Lu C, Zeng NY*. Vectorial importance-weighted neural network framework for aviation structural systems multi-failures related reliability estimation. Aerospace Science and Technology, 2026, 177: 112219. (第一作者)[学术检索]
  2. Yan C, Pei B, Liu KC, Xiang L, Liao YC, Tian SQ, Teng D*. ATS-Kriging: An adaptive two-stage Kriging sequential modeling for performance prediction of aero-engine structure. Aerospace Science and Technology, 2026, 173: 111798. (通讯作者)[学术检索]
  3. Zeng NY, Li ZY, Cheng ZR, Teng D*, Wu PS, Li MZ. Auxiliary domain joint adaptation and selection for cross-domain few-shot object detection. Neurocomputing, 2026, 680: 133294. (通讯作者)[学术检索]
  4. Wang F, Wang RL, Fang FY, Tan WL, Li WQ, Zeng NY*, Teng D*. Intelligent Importance-Weighted Gaussian Process Learning for Efficient Structural Reliability Evaluation. Neurocomputing, 2026, 705: 134972. (通讯作者)[学术检索]
  5. 吴佩树, 曾念寅, 刘钦源, 陈亮, 程泽睿, 腾达*. 基于序列化匹配和历史经验迁移的航空发动机缺陷检测方法. 中国科学:技术科学, 2026, 56(3): 772-789. (通讯作者)[学术检索]

2025

  1. Teng D, Lu C, Fei CW, Zeng NY*. SEP-MRS: Synchronous enhanced PCE combining moving regression strategy for multi-objective reliability evaluation of aerospace structural systems. Aerospace Science and Technology, 2025, 168: 111230. (第一作者)[学术检索]
  2. 冯蕴雯, 腾达*, 路成, 王锐, 陈俊宇. 机理与生成对抗代理建模融合的飞机系统可靠性评估. 航空学报, 2025, 46(7): 213-233. (通讯作者)[学术检索]

2024

  1. Teng D, Feng YW*, Lu C, Liu JQ, Chen JY. Vectorial generative adversarial surrogate modeling reliability evaluation framework for engineering structural systems. Reliability Engineering & System Safety, 2024, 247: 110076. (第一作者)[学术检索]
  2. Teng D, Feng YW, Chen JY, Liu JQ, Lu C*. Multi-polynomial chaos Kriging-based adaptive moving strategy for comprehensive reliability analyses. Reliability Engineering & System Safety, 2024, 241: 109657. (第一作者)[学术检索]
  3. Teng D, Feng YW*, Chen JY, Lu C. Intelligent vectorial surrogate modeling framework for multi-objective reliability estimation of aerospace engineering structural systems. Chinese Journal of Aeronautics, 2024, 37(12): 156-173. (第一作者)[学术检索]
  4. Teng D, Feng YW*, Lu C, Keshtegar B, Xue XF. Generative adversarial surrogate modeling framework for aerospace engineering structural system reliability design. Aerospace Science and Technology, 2024, 144: 108781. (第一作者)[学术检索]
  5. Lu C, Feng Y W, Teng D. EMR-SSM: Synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation. Computer Methods in Applied Mechanics and Engineering, 2024, 421: 116812. (合作作者)[学术检索]
  6. Chen J Y, Feng Y W, Teng D, Lu C, Fei CW. Selective transmit modeling framework of complex system reliability analysis considering failure correlation. Engineering Failure Analysis, 2024, 158: 107957. (合作作者)[学术检索]
  7. Chen J Y, Feng Y W, Teng D, Lu C. Support vector machines-based pre-calculation error for structural reliability analysis. Engineering with computers, 2024, 40(1): 477-491. (合作作者)[学术检索]

2023

  1. 冯蕴雯, 腾达, 陈俊宇, 等. 基于原子搜索Kriging模型方法的民用飞机液压系统温度监测. 航空工程进展, 2023, 14(2): 65-72. (合作作者)[学术检索]
  2. Lu C, Teng D, Keshtegar B, S. Alkabaa, Taylan O, Fei CW. Extremum hybrid intelligent-inspired models for accurate predicting mechanical performances of turbine blisk. Mechanical Systems and Signal Processing, 2023, 190: 110136. (合作作者)[学术检索]
  3. Lu C, Teng D, Chen J Y, Fei CW, Keshtegar B. Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation. Reliability Engineering & System Safety, 2023, 234: 109148. (合作作者)[学术检索]
  4. 刘磊, 腾达, 冯蕴雯. 基于协同智能移动Kriging的襟翼偏角可靠性分析. 西北工业大学学报, 2023, 41(2): 253-263. (合作作者)[学术检索]
  5. Liu JQ, Feng YW, Teng D, Chen JY, Lu C. Operational reliability evaluation and analysis framework of civil aircraft complex system based on intelligent extremum machine learning model. Reliability Engineering & System Safety, 2023, 235: 109218. (合作作者)[学术检索]
  6. Liu W Y, Feng Y W, Teng D, Lu C, Chen JY. Fault logic and data-driven model for operation reliability analysis of the flap deflection angle. Philosophical Transactions of the Royal Society A, 2023, 381(2260): 20220385. (合作作者)[学术检索]

2022

  1. Teng D, Feng YW*, Chen JY, Lu C. Intelligent moving extremum weighted surrogate modeling framework for dynamic reliability estimation of complex structures. Engineering Failure Analysis, 2022, 138: 106364. (第一作者)[学术检索]
  2. Teng D, Feng YW*, Chen JY, et al. Structural dynamic reliability analysis: review and prospects. International Journal of Structural Integrity, 2022, 13(5): 753-783. (第一作者)[学术检索]
  3. Xia J, Feng YW, Teng D, Chen JY, Song ZC. Distance self-attention network method for remaining useful life estimation of aeroengine with parallel computing. Reliability Engineering & System Safety, 2022, 225: 108636. (合作作者)[学术检索]
  4. Chen J Y, Feng Y W, Teng D, Lu C, Fei CW. Support vector machine-based similarity selection method for structural transient reliability analysis. Reliability Engineering & System Safety, 2022, 223: 108513. (合作作者)[学术检索]

2021

  1. Teng D, Feng Y*, Lu C, Fei CW, Liu JQ, Xue XF. Novel Kriging-based decomposed-coordinated approach for estimating the clearance reliability of assembled structures. CMES-Computer Modeling in Engineering and Sciences, 2021, 129(2): 1029-1049. (第一作者)[学术检索]
  2. Chen J Y, Feng Y W, Teng D, Pan WH, Liu JQ. Dimensionality reduction-based extremum surrogate modeling strategy for transient reliability analysis of complex structures. Engineering Failure Analysis, 2021, 130: 105745. (合作作者)[学术检索]

参编专著

  • 民用飞机运行支持构型管理与数据交换,科学出版社,2022(参编).
  • 民用飞机航材工程与管理,科学出版社,2020(参编).

发明专利

  1. 曾念寅, 牛殷龙, 方飞扬, 腾达, 吴佩树。一种大模型驱动的航空发动机设计参数求解系统及方法。公开号:CN122287320A,2026.06.26.
  2. 冯蕴雯, 王锐, 吕骘, 腾达, 路成。一种基于逻辑图概率推理的引气失效故障定位方法。公开号:CN120705696A,2025.09.26.
  3. 王锐, 吕骘, 冯蕴雯, 路成, 腾达。一种基于改进多元估计逻辑信号的液压系统温度监控方法。公开号:CN120083729A,2025.06.03.
  4. 王锐, 吕骘, 冯蕴雯, 路成, 腾达。一种基于故障逻辑的液压系统低压故障诊断方法。公开号:CN118815786A,2024.10.22.
  5. 路成, 冯蕴雯, 腾达。一种多失效模式相关下复杂工程结构可靠性高效评估方法。公开号:CN118211374A,2024.06.18.
  6. 腾达, 冯蕴雯, 陈俊宇。基于模拟退火的加权Kriging襟翼不对称的可靠性分析方法。专利号:ZL 202210411187.9,2024.03.15.
  7. 赵淼龑, 冯蕴雯, 腾达, 梁瀚韬。一种基于多因素的民机质保策略优化方法及系统。公开号:CN116468289A,2023.07.21.