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Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles
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- Dong, Manman & Cheng, Yongbo & Wan, Liangqi, 2024. "A new adaptive multi-kernel relevance vector regression for structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- 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).
- Cao, Yudong & Jia, Minping & Zhao, Xiaoli & Yan, Xiaoan & Feng, Ke, 2024. "Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Dong, Yutong & Jiang, Hongkai & Wang, Xin & Mu, Mingzhe & Jiang, Wenxin, 2024. "An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Zhou, Tao & Yao, Dechen & Yang, Jianwei & Meng, Chang & Li, Ankang & Li, Xi, 2024. "DRSwin-ST: An intelligent fault diagnosis framework based on dynamic threshold noise reduction and sparse transformer with Shifted Windows," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Floreale, Giovanni & Baraldi, Piero & Lu, Xuefei & Rossetti, Paolo & Zio, Enrico, 2024. "Sensitivity analysis by differential importance measure for unsupervised fault diagnostics," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Feng, Tingting & Li, Shichao & Guo, Liang & Gao, Hongli & Chen, Tao & Yu, Yaoxiang, 2023. "A degradation-shock dependent competing failure processes based method for remaining useful life prediction of drill bit considering time-shifting sudden failure threshold," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Yu, Xiaolei & Zhao, Zhibin & Zhang, Xingwu & Chen, Xuefeng & Cai, Jianbing, 2023. "Statistical identification guided open-set domain adaptation in fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
- Wei, Yujie & Pan, Ershun & Ye, Zhi-Sheng, 2024. "Condition monitoring based on corrupted multiple time series with common trends," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Wu, Zhangjun & Xu, Renli & Luo, Yuansheng & Shao, Haidong, 2024. "A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Xia, Pengcheng & Huang, Yixiang & Tao, Zhiyu & Liu, Chengliang & Liu, Jie, 2023. "A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
- Zhou, Chengyu & Fang, Xiaolei, 2023. "A convex two-dimensional variable selection method for the root-cause diagnostics of product defects," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
- Reza Bazghandi & Mohammad Hoseintabar Marzebali & Vahid Abolghasemi & Shahin Hedayati Kia, 2023. "A Novel Mode Un-Mixing Approach in Variational Mode Decomposition for Fault Detection in Wound Rotor Induction Machines," Energies, MDPI, vol. 16(14), pages 1-17, July.
- Pan, Junlin & Sun, Bo & Wu, Zeyu & Yi, Zechen & Feng, Qiang & Ren, Yi & Wang, Zili, 2024. "Probabilistic remaining useful life prediction without lifetime labels: A Bayesian deep learning and stochastic process fusion method," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Li, Yan-Fu & Wang, Huan & Sun, Muxia, 2024. "ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Zhang, Wei & Wang, Ziwei & Li, Xiang, 2023. "Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
- Ma, Yulin & Yang, Jun & Li, Lei, 2023. "Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
- Liu, Yuanhong & Shi, Baoxin & Lu, Shixiang & Gao, Zhi-Wei & Zhang, Fangfang, 2024. "A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
- Wang, Huan & Li, Yan-Fu, 2023. "Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
- Zhu, Zuanyu & Cheng, Junsheng & Wang, Ping & Wang, Jian & Kang, Xin & Yang, Yu, 2023. "A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
- Li, Xin & Li, Yong & Yan, Ke & Shao, Haidong & (Jing) Lin, Janet, 2023. "Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Wang, Jinrui & Zhang, Zongzhen & Liu, Zhiliang & Han, Baokun & Bao, Huaiqian & Ji, Shanshan, 2023. "Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
- Huang, Keke & Tao, Shijun & Wu, Dehao & Yang, Chunhua & Gui, Weihua, 2024. "Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
- Shao, Kaixuan & He, Yigang & Xing, Zhikai & Du, Bolun, 2023. "Detecting wind turbine anomalies using nonlinear dynamic parameters-assisted machine learning with normal samples," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
- Hanting Zhou & Wenhe Chen & Jing Liu & Longsheng Cheng & Min Xia, 2024. "Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3523-3542, October.
- Wenhao Lu & Wei Wang & Xuefei Qin & Zhiqiang Cai, 2024. "Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance," Mathematics, MDPI, vol. 12(13), pages 1-22, July.
- Zhao, Zeyun & Wang, Jia & Tao, Qian & Li, Andong & Chen, Yiyang, 2024. "An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Zhang, Qing & Tang, Lv & Xuan, Jianping & Shi, Tielin & Li, Rui, 2023. "An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
- Das, Laya & Gjorgiev, Blazhe & Sansavini, Giovanni, 2024. "Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data," Reliability Engineering and System Safety, Elsevier, vol. 251(C).