Zhe Yang

21 papers C 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anomaly detection of particle accelerators using spatial-temporal contrastive fusion of multi-sensor time series.
Reliab. Eng. Syst. Saf.
Zhe Yang, Ruichang Zhou, Yongcheng He, Jianyu Long, Lin Fang, Chuan Li
2025 J jnl
Few-shot fault diagnosis of particle accelerator power system using a bidirectional discriminative prototype network.
Appl. Soft Comput.
Zhe Yang, Rongbing Ye, Lingli Jiang, Jianyu Long, Yunwei Huang, Chuan Li
2025 J jnl
Guest Editorial of the Special Section on Advances in Neural Computing-Enabled Device Health Management for Consumer Technology.
IEEE Trans. Consumer Electron.
Yu Wang, Zhe Yang, Bin Zhang, Yanxia Sun
2024 J jnl
Accelerated degradation testing for lifetime analysis considering random effects and the influence of stress and measurement errors.
Reliab. Eng. Syst. Saf.
Yang Li, Haifeng Gao, Hongtian Chen, Chun Liu, Zhe Yang, Enrico Zio
2024 J jnl
Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes.
IEEE Trans. Instrum. Meas.
Jianyu Long, Jing Lin, Lingli Jiang, Zhe Yang, Jianwen Guo, Tao Yin, Chuan Li
2024 J jnl
Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults.
J. Intell. Manuf.
Jianyu Long, Yibin Chen, Huiyu Huang, Zhe Yang, Yunwei Huang, Chuan Li
2024 J jnl
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform.
IEEE Internet Things J.
Liangwei Zhang, Jing Lin, Zhe Yang, Haidong Shao, Biyu Liu, Chuan Li
2023 J jnl
A novel fault detection method for rotating machinery based on self-supervised contrastive representations.
Comput. Ind.
Zhe Yang, Yunwei Huang, Faisal Nazeer, Yanyang Zi, Gianluca Valentino, Chuan Li, Jianyu Long, Huiyu Huang
2023 J jnl
A novel self-training semi-supervised deep learning approach for machinery fault diagnosis.
Int. J. Prod. Res.
Jianyu Long, Yibin Chen, Zhe Yang, Yunwei Huang, Chuan Li
2023 J jnl
A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data.
Reliab. Eng. Syst. Saf.
Yuxuan He, Huai Su, Enrico Zio, Shiliang Peng, Lin Fan, Zhaoming Yang, Zhe Yang, Jinjun Zhang
2023 J jnl
A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of industrial equipment.
Expert Syst. Appl.
Mingjing Xu, Piero Baraldi, Zhe Yang, Enrico Zio
2023 C conf
Anomaly Detection of Rolling Element Bearings Based on Contrastive Representation.
CSCWD
Xiaotong Lei, Zhe Yang, Yunwei Huang, Jianyu Long, Chuan Li, Huiyu Huang
2023 J jnl
Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings.
IEEE Trans. Ind. Informatics
Chuan Li, Xiaotong Lei, Yunwei Huang, Faisal Nazeer, Jianyu Long, Zhe Yang
2022 J jnl
A Novel Ultrasonic Guided Wave-Based Method for Railway Contact Wire Defect Detection.
IEEE Trans. Instrum. Meas.
Yong Chang, Nana Li, Jiyuan Zhao, Yu Wang, Zhe Yang
2022 J jnl
A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks.
Reliab. Eng. Syst. Saf.
Zhe Yang, Piero Baraldi, Enrico Zio
2022 J jnl
Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification.
IEEE Trans. Ind. Electron.
Zhe Yang, Jianyu Long, Yanyang Zi, Shaohui Zhang, Chuan Li
2022 J jnl
Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data.
IEEE Trans. Instrum. Meas.
Jianyu Long, Rongxin Zhang, Zhe Yang, Yunwei Huang, Yu Liu, Chuan Li
2021 — conf
Self-supervised Contrastive Representation Learning for Machinery Fault Diagnosis.
NCAA
Yadong Wei, Xiaoman Cai, Jianyu Long, Zhe Yang, Chuan Li
2020 J jnl
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments.
IEEE Trans. Neural Networks Learn. Syst.
Zhe Yang, Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Lorenzo Montelatici
2020 J jnl
A novel method for maintenance record clustering and its application to a case study of maintenance optimization.
Reliab. Eng. Syst. Saf.
Zhe Yang, Piero Baraldi, Enrico Zio
2018 — conf
Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders.
ICSRS
Zhe Yang, Piero Baraldi, Enrico Zio