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。

• Rotating Electromechanical System Dataset for Condition Monitoring 2026 · 首发该数据集
• Predictive Method for Machinery Fault Detection Using Deep Learning and Vibration Images 2026 · 用于方法验证
• Relational spectral descriptors for multi-sensor vibration-based motor fault diagnosis 2026 · 用于方法验证
• Multimodal vibro-acoustic bearing-fault diagnosis method based on channel fusion and the VACF-CNN model 2026 · 用于方法验证
• A Two-Stage Hybrid Architecture for Unknown Anomaly Detection in Rotating Machinery Bearings 2026 · 用于方法验证
• A2-DBiLNet: An Attention Auto-Encoder Based Deep BiLSTM for Fault Diagnosis in Rotating Machines Using Vibration Signals 2026 · 用于方法验证
• Cross-Domain Failure Detection with Label Noise: Robust Feature Alignment for Imbalanced Sensor Data in Rotating Machinery 2026 · 用于迁移/跨工况
• Accuracy Collapses, Geometry Survives: Class-Mean Displacement Fields under Distribution Shift 2026 · 使用该数据集
• Physics-Validated Explainable Ensembles for Rotating Machinery Fault Diagnosis 2026 · 用于方法验证
• Bearing Fault Diagnosis with Hybrid CNN-RNN: A Unified-Loop Hyperparameter Optimization Framework via Surrogate-Based Bayesian Optimization 2026 · 用于方法验证
• Enhanced Rotating Machinery Fault Diagnosis Using Hybrid RBSO–MRFO Adaptive Transformer-LSTM for Binary and Multi-Class Classification 2026 · 用于方法验证
• Two kinds of robustness are not the same: disentangling fault tolerance and low-SNR robustness in multi-domain event detection on real data 2026 · 使用该数据集
• Multi-Class Electrical and Mechanical Fault Classification Using Random Convolutional Kernels 2026 · 用于方法验证
• Code and Numerical Results for "Modality Graphs Predict Cross-Modal Reconstructability But Not Fusion Gain: A Preregistered Study in Machine Fault Diagnosis" 2026 · 使用该数据集
• Code and Numerical Results for "Modality Graphs Predict Cross-Modal Reconstructability But Not Fusion Gain: A Preregistered Study in Machine Fault Diagnosis" 2026 · 用于方法验证
• Research on vibration signal classification methods for electromechanical systems. 2026 · 用于方法验证
• Two kinds of robustness are not the same: disentangling fault tolerance and low-SNR robustness in multi-domain event detection on real data 2026 · 用于方法验证
• Implementation of a Basic Predictive Maintenance Strategy to Reduce Downtime in Mechanical Equipment Using Statistical Analysis 2026 · 使用该数据集
• A Domain-agnostic Vision Transformer Framework for Machinery Fault Diagnosis using Wavelet Time–frequency Spectra 2026 · 候选引用(未核验)
• Cross-Domain Bearing Fault Diagnosis Using Quantile-Based Domain Adaptation and Random Subspace Ensemble 2026 · 候选引用(未核验)

仅列前 20 篇(首发/综述优先,按年份倒序);全量见 API。