高杨德

专任教师讲师博士

毕业于韩国蔚山大学，人工智能与计算机工程博士，读博期间同时在蔚山工业人工智能实验室担任研究助理，研究方向为人工智能检测，应用于工业与能源等项目，参与韩国国家研究基金和工业与能源等项目，发表9篇SCI与1篇EI论文,获得韩国BK21国家奖学金和蔚山大学AF-1博士全额奖学金。

邮箱：gaoyangde@bhu.edu.cn

部分论文：

[1] Yangde Gao, Zahoor Ahmad and Jong-Myon Kim, Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network. Sensors, 2024, 24(1), 256; https://doi.org/10.3390/s24010256.(SCI三区)

[2] Yangde Gao, Farzin Piltan and Jong-Myon Kim, A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. Sensors, 2022, 22(10), 3963; https://doi.org/10.3390/s22103963.(SCI三区)

[3] Yangde Gao, Farzin Piltan and Jong-Myon Kim, A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. Sensors, 2022, 22(19), 7534; https://doi.org/10.3390/s22197534.(SCI三区)

[4] Bo Wu, Yangde Gao(Corresponding author), Na Ma, Theerasak Chanwimalueang, Xiaobing Yuan, Jianpo Liu, Fault diagnosis of bearing vibration signals based on a reconstruction algorithm with multiple side Information and CEEMDAN method. Journal of Vibroengineering, 2020, 23(1), doi: 10.21595/jve.2020.21586.(EI)

[5] Yangde Gao, Mohammad Karimi, Aleksey A. Kudreyko, Wanqing Song, Spare optimistic based on improved ADMM and the minimum entropy de-convolution for the early weak fault diagnosis of bearings in marine systems. ISA Transactions, 2017, 78:98-104, https://doi.org/10.1016/j.isatra.2017.12.021 . (SCI二区).

[6] Yangde Gao, Francesco Villecco, Ming Li, Wanqing Song(Corresponding author), Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis. Entropy, 2017, 19(4), 176; https://doi.org/10.3390/e19040176. (SCI三区, ESI).