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。

• University of Ottawa constant load and speed rolling-element bearing vibration and acoustic fault signature datasets 2023 · 首发该数据集
• A Multisource Information Fusion Anomaly Detection Framework Based on Denoising Diffusion Probabilistic Model for Rotating Machinery 2026 · 用于方法验证
• Adaptive Resonance Demodulation for Bearing Fault Diagnosis via Spectral Trend Reconstruction and Weighted Logarithmic Energy Ratio 2026 · 用于方法验证
• The Energy-Dispersion Index (EDI) and Cross-Domain Archetypes: Towards Fully Automated VMD Decomposition for Robust Fault Detection 2026 · 用于方法验证
• MAEFF: missing-aware adaptive expert fusion framework for multi-sensor bearing fault diagnosis 2026 · 候选引用(未核验)
• A multi-condition acoustic dataset of ball bearings for fault diagnosis 2026 · 候选引用(未核验)
• SAMGNet: A synergistic adaptive multi-domain graph network with multi-level consistency contrastive learning for non-stationary multivariate time series 2026 · 候选引用(未核验)
• Accuracy, robustness, and computational efficiency in bearing fault detection and diagnosis: Comparison of CNN and CNN-Transformer 2026 · 候选引用(未核验)
• Acoustic–vibration fusion bearing fault diagnosis via a multi-scale Swin–CNN hybrid architecture 2026 · 候选引用(未核验)
• A Comparative Study of Band-Selection Methods for Bearing Fault Diagnosis Using DRS-MD Preprocessing 2026 · 候选引用(未核验)
• Robust Bearing Fault Diagnosis via Bio-Inspired Spectral Enhancement and Multimodal Contrastive Graph Attention 2026 · 候选引用(未核验)
• WRNN and CAT-Based Few-Shot Learning Fault Diagnosis for Bearing 2026 · 候选引用(未核验)
• Fault diagnosis of bearings under variable speed and noise interference based on ED-GAFMD 2026 · 候选引用(未核验)
• Multimodal fault diagnosis via enhancement of background-dominated low-discriminative features and causal residual fusion 2026 · 候选引用(未核验)
• MSFormer: Multi-Scale Transformer for Robust Fault Diagnosis of Machines Under Complex Conditions 2026 · 候选引用(未核验)
• Multimodal Heterogeneous CNN with Adaptive Modality Fusion for Intelligent Fault Diagnosis of Bearings 2026 · 候选引用(未核验)
• Multimodal Prompt-Tuning Large Language Model for Machinery Fault Diagnosis with Sound-Vibration Signals 2026 · 候选引用(未核验)
• MSF-DFormer: A Multisensor Multiscale Fusion Network With Deformable Transformer for Fault Diagnosis Under Complex Working Conditions With Limited Samples 2025 · 用于方法验证
• Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis 2025 · 用于方法验证
• LiMS-MFormer: A Lightweight Multi-Scale and Multi-Dimensional Attention Transformer for Robust Rolling Bearing Fault Diagnosis Under Complex Conditions 2025 · 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。