以第一SCI论文20余篇，其中ESI高被引5篇，代表作如下： [1]Zhiyi He, Qing. Liu, Haidong. Shao, Bin. Yang, Ming. Zeng, Uncertainty NVAE-SVDD Based on Monte Carlo Dropout for Trustworthy Detection of Mechanical Failures, IEEE Transactions on Reliability, 2025, 74(4): 5544-5553. [2]Zhiyi He, Ya Gao, Bin Yang, Xiaoqiang Xu, Ming Zeng, Imbalanced domain adaptive incremental fault diagnosis method based on core focal anchor loss and adaptive prototype classifier, Nondestructive Testing and Evaluation, 2025, Early Access. [3]Hongwei Hu, Zirui Li, Zhiyi He*, Lei Wang, Su Cao, Wenhua Du, Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images, Measurement 229 (2024) 114443. [4]Zhiyi He, Yuting Zeng, Haidong Shao, Hongwei Hu, Xiaoqiang Xu, Novel motor fault detection scheme based on one-class tensor hyperdisk, Knowledge-Based Systems, 2023, 262(28) [5]Zhiyi He, Haidong Shao, Ziyang Ding, et al. Modified deep auto-encoder driven by multi-source parameters for fault transfer prognosis of aero-engine, IEEE Transactions on Industrial Electronics 69 (2022) 845-855. [6]Zhiyi He, Haidong Shao, Junsheng Cheng, et al. Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data, Mechanical Systems and Signal Processing, 141 (2020) 106441. [7]Zhiyi He, Junsheng Cheng, Juan Li, et al. Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings, Knowledge-Based Systems 173 (2019) 62–73. [8]He Zhiyi, Shao Haidong, Wang Ping, et al. Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples, Knowledge-Based Systems 191 (2020) 105313. [9]He Zhiyi, Shao Haidong, Zhong Xiang, et al. Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions, Knowledge-Based Systems 207 (2020) 106396. [10]He Zhiyi, Shao Haidong, Wang Ping, et al. Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder, Measurement 152 (2020) 107393. |
