Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ress.2024.110684
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Tian, Jilun & Zhang, Jiusi & Jiang, Yuchen & Wu, Shimeng & Luo, Hao & Yin, Shen, 2024. "A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Xia, Liqiao & Liang, Yongshi & Leng, Jiewu & Zheng, Pai, 2023. "Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
- Li, Ying & Zhang, Lijie & Liang, Pengfei & Wang, Xiangfeng & Wang, Bin & Xu, Leitao, 2024. "Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Su, Zhiheng & Lian, Penglong & Shang, Penghui & Zhang, Jiyang & Xu, Hongbing & Zou, Jianxiao & Fan, Shicai, 2024. "Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zhu, Yunyi & Xie, Bin & Wang, Anqi & Qian, Zheng, 2025. "Wind turbine fault detection and identification via self-attention-based dynamic graph representation learning and variable-level normalizing flow," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Qingzong Li & Pingyu Jiang & Jianwei Wang & Maolin Yang & Yuqian Yang, 2025. "A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation," Journal of Intelligent Manufacturing, Springer, vol. 36(3), pages 1801-1818, March.
- Liu, Jintao & Chen, Keyi & Duan, Huayu & Li, Chenling, 2024. "A knowledge graph-based hazard prediction approach for preventing railway operational accidents," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
- Lin, Yanzhuo & Wang, Yu & Zhang, Mingquan & Zhao, Ming, 2025. "A robust source-free unsupervised domain adaptation method based on uncertainty measure and adaptive calibration for rotating machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Chen, Xirui & Liu, Hui, 2025. "Domain correction for hydraulic internal pump leakage detection considering multiclass aberrant flow data," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Chen, Yuejian & Liu, Xuemei & Rao, Meng & Qin, Yong & Wang, Zhipeng & Ji, Yuanjin, 2025. "Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
- Ma, Hongbo & Wei, Jiacheng & Zhang, Guowei & Kong, Xianguang & Du, Jingli, 2024. "Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
- Liu, Mengyu & Cheng, Zhe & Yang, Yu & Hu, Niaoqing & Yang, Yi, 2024. "Multi-target domain adaptation intelligent diagnosis method for rotating machinery based on multi-source attention mechanism and mixup feature augmentation," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Lan, Meng & Gardoni, Paolo & Weng, Wenguo & Shen, Kaixin & He, Zhichao & Pan, Rongliang, 2024. "Modeling the evolution of industrial accidents triggered by natural disasters using dynamic graphs: A case study of typhoon-induced domino accidents in storage tank areas," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Liu, Jie & Zheng, Shuwen & Wang, Chong, 2023. "Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
- Liu, Ruonan & Zhang, Quanhu & Lin, Di & Zhang, Weidong & Ding, Steven X., 2024. "Causal intervention graph neural network for fault diagnosis of complex industrial processes," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Li, Qikang & Tang, Baoping & Deng, Lei & Yang, Qichao & Zhu, Peng, 2024. "Adaptive centroid prototype-based domain adaptation for fault diagnosis of rotating machinery without source data," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Liu, Jie & He, Zihan & Miao, Yonghao, 2024. "Causality-based adversarial attacks for robust GNN modelling with application in fault detection," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
- Huang, Kai & Ren, Zhijun & Zhu, Linbo & Lin, Tantao & Zhu, Yongsheng & Zeng, Li & Wan, Jin, 2025. "A three-stage bearing transfer fault diagnosis method for large domain shift scenarios," Reliability Engineering and System Safety, Elsevier, vol. 254(PB).
- Cui, Lingli & Shen, Qiang & Xiao, Yongchang & Liu, Dongdong & Wang, Huaqing, 2025. "Sparse graph structure fusion convolutional network for machinery remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
- Huo, Xiaosen & Yin, Yuan & Jiao, Liudan & Zhang, Yu, 2024. "A data-driven and knowledge graph-based analysis of the risk hazard coupling mechanism in subway construction accidents," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Yang, Tongguang & Xu, Mingzhe & Chen, Caipeng & Wen, Junyi & Li, Jinglan & Han, Qingkai, 2025. "DSTF-Net: A novel framework for intelligent diagnosis of insulated bearings in wind turbines with multi-source data and its interpretability," Renewable Energy, Elsevier, vol. 238(C).
- Liang, Pengfei & Wang, Xiangfeng & Ai, Chao & Hou, Dongming & Liu, Siyuan, 2025. "SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Cai, Li & Deng, Xuanhong & Yin, Hongpeng & Lin, Jingdong & Qin, Yan, 2025. "Generalized zero-sample industrial fault diagnosis with domain bias," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Su, Zhiheng & Lian, Penglong & Shang, Penghui & Zhang, Jiyang & Xu, Hongbing & Zou, Jianxiao & Fan, Shicai, 2024. "Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
More about this item
Keywords
Graph neural networks; Intelligent fault diagnosis; Transfer learning; Unsupervised domain adaptation; Variable operating conditions;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:255:y:2025:i:c:s0951832024007555. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.