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。

• Condition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven Classification 2016 · 首发该数据集
• Deep Learning and Few‐Shot Learning–Enabled Machine Health Monitoring for Rotating Machinery: A Critical Review of Vibration‐Based Fault Diagnosis, Prognostics, and Industrial Deployment 2026 · 综述收录
• Large language models in manufacturing: a comprehensive review 2026 · 综述收录
• Small data challenges for intelligent prognostics and health management: a review 2024 · 综述收录
• Development of a fault diagnosis system for future (hybrid) electric aircraft with real-time capabilities 2026 · 用于方法验证
• IMFD-Net with Hybrid Map Learning for Bearing Fault Diagnosis Under Diverse Conditions 2026 · 用于方法验证
• Prototype‐attention domain adaptation for explainable bearing fault diagnosis 2026 · 用于方法验证
• Multi-modal dynamic evolution and hypergraph information bottleneck network for small-sample bearing fault diagnosis 2026 · 用于方法验证
• Domain generalization for bearing fault detection via frequency-domain decomposition and entropy-based dynamic fusion 2026 · 用于方法验证
• Physics-informed data augmentation framework for mitigating overfitting in multi-condition rotating machinery 2026 · 用于方法验证
• Source-free domain adaptation via robust pseudo-label optimization for cross-domain wind turbine bearing diagnosis 2026 · 用于迁移/跨工况
• Robust and efficient bearing fault diagnosis: a parallel Swin-MSCA framework with knowledge distillation 2026 · 用于方法验证
• Feature-level boundary optimization for rolling bearing fault diagnosis under class-imbalanced distribution 2026 · 用于迁移/跨工况
• A novel time–frequency multi-feature adaptive feature fusion framework for bearing fault diagnosis under noise conditions 2026 · 用于方法验证
• A Discrete Wavelet Transform-Based Lightweight Transformer Model for Intelligent Fault Diagnosis 2026 · 用于方法验证
• A Data-Driven State-Derivative-Aware Neural Controlled Differential Equation Framework for Multi-Sensor Bearing Fault Diagnosis 2026 · 用于方法验证
• Investigating Performance of Voting Ensemble Model on Bearing Fault Classification 2026 · 用于方法验证
• Signal Processing-Guided Multimodal Encoder for Intelligent Bearing Fault Diagnosis 2026 · 用于方法验证
• Towards Reliable Intelligent Fault Diagnosis of Rolling Element Bearings: The Role of Signal Quality 2026 · 使用该数据集
• A multi-modal missing bearing fault diagnosis method based on missing proxy and multi-constraint learning 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。