仅表示这篇论文与本数据集在文献网络中相邻, 不代表该论文确实使用了本数据集。

• Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics 2021 · 首发该数据集
• Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods 2025 · 综述收录
• Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges 2024 · 综述收录
• A Comprehensive Survey of Predictive Maintenance Techniques for Aircraft Engines Utilizing the C-MAPSS Dataset 2024 · 综述收录
• Data-Driven Health Index Estimation and Multiagent Deep Reinforcement Learning for Optimizing Aeroengine Maintenance Strategies 2026 · 用于方法验证
• TFMPINN: a meta-learning approach for remaining useful life prediction via time-domain latent encoding and frequency-domain physics-informed neural networks 2026 · 用于方法验证
• Equipment remaining useful life prediction via dynamic label recalibration and gated multi-scale U-Net framework 2026 · 用于方法验证
• A dynamic spatio-temporal convolution network for remaining useful life prediction 2026 · 用于方法验证
• Coupling-sensitive feature decoupling network for robust aero-engine RUL estimation under mixed operating conditions 2026 · 使用该数据集
• A wiener-prior-guided hierarchical network for aero-engine RUL prediction with uncertainty quantification 2026 · 用于方法验证
• Pre-trained Transformer with Contrastive Learning and Regression Constraints for Remaining Useful Life Prediction 2026 · 用于方法验证
• Wavelet convolutional bidirectional temporal network and modified informer for RUL prediction of wind turbines under non-stationary conditions 2026 · 用于方法验证
• Multi-scale mixed-learning and evaluation prediction method for the remaining useful life of aero-engine 2026 · 用于方法验证
• A decentralized model for fault classification and remaining useful life estimation of physical assets 2026 · 用于方法验证
• A Unified Uncertainty-Aware Multi-Task Framework for Robust Remaining Useful Life Prediction Under Distribution Shift 2026 · 用于方法验证
• Aging-Informed Dynamic Graph Network for Aero-Engine RUL Prediction 2026 · 用于方法验证
• LVDACNN: A Lightweight Variable Dependency Aware CNN for Remaining Useful Life Prediction 2026 · 用于方法验证
• Digital Twin Framework for Interpretable Aero-Engine RUL Prediction via Multibranch LSTM and Unity Visualization 2026 · 用于方法验证
• A cross-teaching multi-output neural network prediction model for physical assets 2026 · 用于方法验证
• PaTaNet: a cloud-native collaborative position aware temporal adaptation network for multi-tenant remaining useful life prediction 2026 · 用于方法验证

仅列前 20 篇(首发/综述优先,按年份倒序);全量见 API。