MFPT Condition Based Maintenance Fault Database (Bearing Fault Data Sets) 核心 · 已核验
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MFPT(机械故障预防技术协会)条件维护故障数据库:基线/多负载外圈/内圈故障轴承数据,含真实工况案例;领域经典参考库
本卡描述如含来自官方页的原文片段,其版权归原作者,不在本站 CC-BY 4.0 许可范围(见关于与许可)。
- 落地页
- https://github.com/mathworks/RollingElementBearingFaultDiagnosis-Data
- 许可证
- CC-BY-NC-SA-4.0 (置信:verified_official)
- 国内可访问性
-
国内直连:可达 (2026-07-11 检测)
非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 发布年份
- 2013
- 别名
- MFPT
- 设备类型
rolling_bearing- PHM 任务
fault_diagnosis
故障工况
| fault_type: healthy_baseline |
| description: 多负载外圈故障组fault_type: bearing_outer_race_fault |
| fault_type: bearing_inner_race_fault |
传感器
| sensor_type: accelerometerobserved_property: vibration_acceleration |
运行工况
| description: 基线 270 lbs/变载 25-300 lbs;输入轴 25 Hz;采样 97656/48828 spscondition_type: loadmin_value: 25.0max_value: 300.0unit: lbs |
关联论文(544 篇)
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。
- Quantifying the Impact of Data Cleaning on Deep Learning‐Based Bearing Fault Diagnosis: A Multidataset, Multiarchitecture Study 2026 · 使用该数据集
- Multi scale parallel frequency attention network for bearing fault diagnosis under severe noise 2026 · 用于方法验证
- Cross-Dataset Few-Shot Bearing Fault Diagnosis Based on Unified Time–Frequency Representation and Metric Learning 2026 · 用于方法验证
- Research on cross-domain fault diagnosis models integrating transfer learning and knowledge distillation 2026 · 用于迁移/跨工况
- A Two-Stage Self-Supervised Framework for Few-Shot Fault Diagnosis Using Masked Autoencoders 2026 · 用于方法验证
- A Physics-Constrained Spectral Generative Adversarial Network for Rolling Bearing Fault Diagnosis 2026 · 用于方法验证
- BEAM-Net: A Lightweight Bearing Fault Diagnosis Network via Spectral Trend Decomposition and Weighted Convolution 2026 · 用于方法验证
- Shapelet-Based Bearing Fault Diagnosis Under Interpretability Constraints: A Recording-Level Evaluation 2026 · 用于方法验证
- A Hybrid Method of Binary Grey Wolf Optimization and Equilibrium Optimization for Feature Selection in Diagnosing Bearing Faults 2026 · 用于方法验证
- Hyperbolic Hypergraph Neural Networks for Hierarchical Fault Diagnosis in Rotating Machinery 2026 · 用于方法验证
- YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts 2026 · 用于方法验证
- Zero-Training-Data Bearing Fault-State Detection Using Structural Coherence Index and Phase-Randomized Surrogate Testing 2026 · 用于方法验证
- Zero-Training-Data Bearing Fault-State Detection Using Structural Coherence Index and Phase-Randomized Surrogate Testing 2026 · 用于方法验证
- The Structural Coherence Index: A Complete Account of Research Arc, Validated Results, and Cross-Domain Empirical Evidence 2026 · 用于方法验证
- The Structural Coherence Index: A Complete Account of Research Arc, Validated Results, and Cross-Domain Empirical Evidence 2026 · 用于方法验证
- A Class-Discriminant Codebook Encoder as a Cross-Domain Sensor Substrate: Robotic Force/Torque, Industrial Vibration, and Articulated-Motion Gesture 2026 · 用于方法验证
- A Class-Discriminant Codebook Encoder as a Cross-Domain Sensor Substrate: Robotic Force/Torque, Industrial Vibration, and Articulated-Motion Gesture 2026 · 用于方法验证
- What a Single Decision Token Can and Cannot Reconstruct: The Shape- versus-Phase Boundary of Extreme Signal Compression 2026 · 用于方法验证
- What a Single Decision Token Can and Cannot Reconstruct: The Shape- versus-Phase Boundary of Extreme Signal Compression 2026 · 用于方法验证
- Decision-Bits, Not Fidelity-Bits: A Rate–Accuracy Comparison of a Task-Aware Single-Token Encoder Against General-Purpose Compression Codecs 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。
溯源(10 条)
| 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-10 |
| 日期: 2026-07-11 |
| 日期: 2026-07-14 |
| 日期: 2026-07-21 |
| 日期: 2026-07-25 |
| 日期: 2026-07-26 |