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Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics

Citations

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Cited by:

  1. Soleimani, Mohammadjavad & Irani, Fatemeh Negar & Yadegar, Meysam & Meskin, Nader, 2025. "Comprehensive review of gas turbine fault diagnostic strategies," Applied Energy, Elsevier, vol. 401(PC).
  2. Li, Tianfu & Chen, Junfan & Liu, Tao & Sun, Chuang & Zhao, Zhibin & Chen, Xuefeng & Yan, Ruqiang, 2026. "Explainable artificial intelligence based intelligent fault diagnosis: A systematic review from applications to insights," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).
  3. Basora, Luis & Viens, Arthur & Chao, Manuel Arias & Olive, Xavier, 2025. "A benchmark on uncertainty quantification for deep learning prognostics," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
  4. Shih-Hsien Tseng & Khoa-Dang Tran, 2024. "Predicting maintenance through an attention long short-term memory projected model," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 807-824, February.
  5. Zhou, Maohui & Li, Yanjun & Cao, Yuyuan & Ma, Xinyu & Xu, Zhenteng, 2025. "Physics-informed spatio-temporal hybrid neural networks for predicting remaining useful life in aircraft engine," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
  6. Chen, Jiaxian & Li, Dongpeng & Huang, Ruyi & Chen, Zhuyun & Li, Weihua, 2023. "Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  7. Chen, Yan & Liu, Cheng, 2026. "A sample-efficient transfer learning framework for industrial remaining useful life prediction leveraging large language models," Reliability Engineering and System Safety, Elsevier, vol. 268(C).
  8. Wang, Yilin & Shen, Lei & Zhang, Yuxuan & Li, Yuanxiang & Zhang, Ruixin & Yang, Yongshen, 2023. "Self-supervised Health Representation Decomposition based on contrast learning," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
  9. Zhou, Zhihao & Shao, Yiran & Jiang, Bo & Yao, Peng & Liu, Jinfu & Yu, Daren, 2026. "An aero-engine remaining useful life prediction method based on deformable convolutional residual attention enhanced Kolmogorov-Arnold networks with prediction advance and shape constraints," Reliability Engineering and System Safety, Elsevier, vol. 268(C).
  10. Bajarunas, Kristupas & Baptista, Marcia L. & Goebel, Kai & Chao, Manuel Arias, 2024. "Health index estimation through integration of general knowledge with unsupervised learning," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
  11. Nejjar, Ismail & Geissmann, Fabian & Zhao, Mengjie & Taal, Cees & Fink, Olga, 2024. "Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
  12. Dersin, Pierre & Rocchetta, Roberto, 2026. "Analysis of RUL dynamics and uncertainty via time transformation," Reliability Engineering and System Safety, Elsevier, vol. 266(PB).
  13. Feng, Guanxiang & Chen, Yingxue & Gou, Linfeng, 2025. "Multi-scale spatiotemporal feature-assisted physical information graph temporal convolutional network for aero-engine degradation trend prediction," Energy, Elsevier, vol. 340(C).
  14. Haotian Zhang & Stuart Dereck Semujju & Zhicheng Wang & Xianwei Lv & Kang Xu & Liang Wu & Ye Jia & Jing Wu & Wensheng Liang & Ruiyan Zhuang & Zhuo Long & Ruijun Ma & Xiaoguang Ma, 2026. "Large scale foundation models for intelligent manufacturing applications: a survey," Journal of Intelligent Manufacturing, Springer, vol. 37(1), pages 119-170, January.
  15. Liao, Zengbu & Zhan, Keyi & Zhao, Hang & Deng, Yuntao & Geng, Jia & Chen, Xuefeng & Song, Zhiping, 2024. "Addressing class-imbalanced learning in real-time aero-engine gas-path fault diagnosis via feature filtering and mapping," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
  16. Salman Khalid & Jinwoo Song & Muhammad Muzammil Azad & Muhammad Umar Elahi & Jaehun Lee & Soo-Ho Jo & Heung Soo Kim, 2023. "A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management," Mathematics, MDPI, vol. 11(18), pages 1-42, September.
  17. Cui, Wenyue & Wang, Rui & Sun, Tao & Liu, Zezhou, 2024. "Managing remaining useful life of cyber-aeroengine systems using a graph spatio-temporal attention recurrent network with phase-lag index," Energy, Elsevier, vol. 308(C).
  18. Jiaxian Chen & Dongpeng Li & Ruyi Huang & Zhuyun Chen & Weihua Li, 2025. "A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery," Journal of Intelligent Manufacturing, Springer, vol. 36(4), pages 2767-2783, April.
  19. Chen, Dongchao & Li, Xiuxia & Xu, Jingquan & Wang, Zhong, 2026. "An anomaly detection method for gas turbines in power plants using conditional variational autoencoder optimized with self-attention," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
  20. Wang, Wei & Wang, Zhaoqiang & Cai, Zhiqiang & Hu, Changhua & Si, Shubin, 2025. "Robust uncertainty quantification for online remaining useful life prediction with randomly missing and partially faulty sensor data," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
  21. Wang, Yilin & Li, Yuanxiang & Zhang, Yuxuan & Lei, Jia & Yu, Yifei & Zhang, Tongtong & Yang, Yongshen & Zhao, Honghua, 2024. "Incorporating prior knowledge into self-supervised representation learning for long PHM signal," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  22. Liu, Hao & Sun, Youchao & Wang, Xiaoyu & Wu, Honglan & Guo, Yuanyuan & Wang, Hao, 2025. "Operating condition feature representation-based Fourier graph network for civil aircraft state estimation," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
  23. Wang, Wei & Song, Honghao & Si, Shubin & Lu, Wenhao & Cai, Zhiqiang, 2024. "Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
  24. Xu, Meng & Liu, Xue & Huang, Junjie & Ma, Jian & Yue, Meiling, 2026. "Adaptive turbofan engine health assessment for multi-component performance degradation coupling scenarios: A spatiotemporal attention graph convolutional network approach," Reliability Engineering and System Safety, Elsevier, vol. 269(C).
  25. Zhou, Liang & Wang, Huawei & Xu, Shanshan, 2023. "Aero-engine prognosis strategy based on multi-scale feature fusion and multi-task parallel learning," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  26. Llasag Rosero, Raúl & Silva, Catarina & Ribeiro, Bernardete & Albisser, Melania & Brutsche, Martin & Arias Chao, Manuel, 2025. "Label synchronization strategies for hybrid federated learning," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
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