代表性论文(仅列2022-2023年第一或通讯作者发表的论文): [1] Hao Gong, Jianhua Liu*, Huihua Feng, Jiayu Huang. Concept of radial slippage propagation triggering self-loosening and optimisation design of novel anti-loosening structures. Friction, 2023, 11(6): 865-880. [2] Xinjian Deng, Jianhua Liu, Honghui Gong, Hao Gong*, Jiayu Huang. A human-robot collaboration method using a pose estimation network for robot learning assembly manipulation trajectories from demonstration videos. IEEE Transactions on Industrial Informatics, 2023, 19(5): 7160-7168. [3] Xinjian Deng, Jianhua Liu, Hao Gong*, Jiayu Huang. A novel vision-based method for loosening detection of marked T-junction pipe fittings integrating GAN-based segmentation and SVM-based classification algorithms. Journal of Intelligent Manufacturing, 2023, 34(6): 2581-2597. [4] Jiayu Huang, Jianhua Liu, Hao Gong*, Xinjian Deng. Multimodal loosening detection for threaded fasteners based on multiscale cross fuzzy entropy. Mechanical Systems and Signal Processing, 2023, 186: 109834. [5] Zhongwei Zhang, Jianhua Liu, Hao Gong*, et al. Invention of smart tightening tool for directly controlling the preload of bolted joints. Smart Materials and Structures, 2023, 32(2): 027001. [6] Jiayu Huang, Jianhua Liu, Honghui Gong, Hao Gong*, et al. Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM. Structural Health Monitoring-an International Journal, 2023, online. [7] Hao Gong, Xiaoyu Ding, Jianhua Liu*, Huihua Feng. Review of research on loosening of threaded fasteners. Friction, 2022, 10(3): 335-359. [8] Hao Gong*, Xinjian Deng, Jianhua Liu, Jiayu Huang. Quantitative loosening detection of threaded fasteners using vision-based deep learning and geometric imaging theory. Automation in Construction, 2022, 133: 104009. [9] Hao Gong, Jianhua Liu*, Huihua Feng. Review on anti-loosening methods for threaded fasteners. Chinese Journal of Aeronautics, 2022, 35(2): 47-61. [10] Hao Gong*, Jiayu Huang, Jianhua Liu, Xinjian Deng. Proof-of-concept study of high-order sideband for bolt loosening detection using vibroacoustic modulation method. Mechanical Systems and Signal Processing, 2022, 169: 108638. [11] Hao Gong, Jianhua Liu*, Shuo Li, Bo Chen. ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning. Artificial Intelligence in Medicine, 2022, 124: 102243. [12] Xinjian Deng, Jianhua Liu, Hao Gong*, Jiayu Huang. Detection of loosening angle for mark bolted joints with computer vision and geometric imaging. Automation in Construction, 2022, 142: 104517. [13] Jiayu Huang, Jianhua Liu, Hao Gong*, Xinjian Deng. A novel active sensing method for loosening detection of globe-cone joint considering assembly uncertainties. Mechanical Systems and Signal Processing, 2022, 184: 109738. [14] Kai Wang, Jianhua Liu, Hao Gong*, et al. Robust optimization design for sealing performance of globe-cone joint considering manufacturing and assembly uncertainties. Structural and Multidisciplinary Optimization, 2023, 66(4): 92. [15] Chenfei Du, Jianhua Liu, Hao Gong*, et al. Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM. Structural Health Monitoring-an International Journal, 2023, online. [16] Jiayu Huang, Jianhua Liu, Hao Gong*, Xinjian Deng. A comprehensive review of loosening detection methods for threaded fasteners. Mechanical Systems and Signal Processing, 2022, 168: 108652. [17] 巩浩, 刘检华*, 冯慧华. 螺纹连接松动机理和防松方法研究综述. 机械工程学报, 2022, 58(10): 326-347+360. [18] 张忠伟, 刘检华, 巩浩. 螺纹紧固件咬死失效的热力学分析和试验研究. 机械工程学报, 2023, 59(10): 346-356. 科研项目： (1) 国家自然科学基金青年项目，多源不确定性下航空发动机转子系统装配工艺稳健性优化方法，主持，2022.01至2024.12，30万； (2) 国家自然科学基金区域联合基金重点项目课题，航空发动机转子高稳定性装配基础理论与方法，主持，2023.01-2026.12，70万； (3) 国家重点研发课题，考虑装配误差的复杂高端装备装配性能数字孪生体构建，主持，2022.10-2025.10，191万； (4) 航空科学基金，航空液压管接头密封失效机理与工艺调控方法研究，主持，2023.10-2025.9，20万； (5) 内燃机与动力系统全国重点实验室基金，热振耦合工况下发动机机体支撑肩磨损与密封失效研究，主持，2023.10-2025.9，25万； (6) GF基础科研项目，高性能空间复杂驱动部件精密装调工艺技术，分承研，2022.10-2025.10，160万； (7) 国家自然科学基金重点项目，复杂机电产品的精密装配基础理论与方法，主要参与，2020.01-2024.12。 |
