| Real-time multi-fault diagnosis in wind turbines using a physics-guided hybrid RBF-ANN framework |
wind_turbine gearbox |
mxdshnpmrpyp5y72 |
核心 · 已核验 |
| Twin-Spool Rotor Misalignment, Looseness, and Rub-Impact Vibration Dataset |
|
mxds8esxpqvdv508 |
机器收录·待核验 |
| Detection of Cracking and Spalling Damage in Buildings and Bridges |
|
mxdsm6szzxz19m45 |
机器收录·待核验 |
| Dataset of Fatigue Testing on Type III CFRP Composite Pressure Vessels Using a Hydraulic Impulse Test Stand |
composite_structure pressure_vessel |
mxdsjzr1cejsmx28 |
核心 · 已核验 |
| MORPHO 50 kHz curated universe — guided-wave SHM dataset |
composite_structure |
mxdshsxcn86fm355 |
核心 · 已核验 |
| OCE-3D Shaft Orbit Dataset |
rotor_system journal_bearing |
mxdseb1pqrvvvr52 |
核心 · 已核验 |
| University of Ottawa Electric Motor Dataset - Vibration and Acoustic Faults under Constant and Variable Speed Conditions (UOEMD-VAFCVS) |
|
mxdse416sgserq84 |
核心 · 已核验 |
| Dataset of Energy Consumption and Performance Indicators of Split-Type Air Conditioners under Single and Multiple Fault Conditions in Tropical Island Climates |
|
mxdsppd0pq3whj94 |
核心 · 已核验 |
| Shaft Crack Dataset: Proximity and Vibration Measurements |
rotor_system |
mxdsjgjzsf7g5x68 |
核心 · 已核验 |
| Activa 6G BS-VI Engine Audio Dataset: Healthy and Defective Samples |
|
mxdsfbbdwx69cb48 |
核心 · 已核验 |
| 广东技术师范大学轴承实验数据集 |
rolling_bearing |
mxdsj6xer2b97p42 |
核心 · 已核验 |
| Acoustic waveforms generated by several types of partial discharges in laboratory environment |
|
mxdsfdyw4pxdz184 |
核心 · 已核验 |
| Longitudinal Multi-Source Monitoring Dataset for Power Transformer Health Index and RUL Prediction |
|
mxdswfz0ers6v881 |
机器收录·待核验 |
| Fault Identification Technology of Wind Turbine Blade Damage Sound Source Localization and Multimodal Data Fusion Based on Voiceprint Monitoring |
wind_turbine |
mxds387j018g4v22 |
核心 · 已核验 |
| SEU Gearbox Dataset (Southeast University Mechanical-datasets) |
gearbox rolling_bearing |
mxdsapffh9nr8a03 |
核心 · 已核验 |
| SOFC Ni-redox degradation data |
fuel_cell |
mxdsmz13nzpvf417 |
核心 · 已核验 |
| Data for:Resolving inter-cell heterogeneity to mitigate degradation amplification in battery packs |
battery |
mxdsptsp4qqhc586 |
核心 · 已核验 |
| CALCE Battery Research Group Data (University of Maryland) |
battery |
mxds8ab9ap921y91 |
核心 · 已核验 |
| TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis |
|
mxds568vz2my8s47 |
机器收录·待核验 |
| Assembling customized sensor arrays on structures by direct-ink-writing for real-time complex crack monitoring |
|
mxdsg2td9p2ymr48 |
机器收录·待核验 |
| XJTU-SES |
power_electronics_device battery |
mxdsdey4wpak9m56 |
核心 · 已核验 |
| Feasibility assessment of non-contact acoustic emission monitoring of corrosion-fatigue damage in submerged steel structures |
metallic_structure |
mxds0bcrejp77170 |
核心 · 已核验 |
| Wind Turbine High-Speed Bearing Prognosis Data |
wind_turbine rolling_bearing |
mxds7sqxytm4p578 |
核心 · 已核验 |
| Operational Data Set, Cleaning, and Evaluation of AI Models for Predicting Faults in Medium-Voltage Reclosers |
|
mxdsgvx9fbntt120 |
核心 · 已核验 |
| A Labeled UAV Fault Diagnosis Dataset from Real Flight Experiments for AI-Based Anomaly Detection |
unmanned_aerial_vehicle |
mxds1z3cbm3t3y20 |
核心 · 已核验 |
| RT-FDD Datasets: Pick-and-Place and Electric Furnace Benchmarks for Real-Time Fault Detection and Diagnosis |
|
mxds97pcncak0189 |
核心 · 已核验 |
| ORCA-VFD Dataset: Reliability, Degradation, and Remaining Useful Life Data for Variable Frequency Drives |
|
mxdsg70qgzm9z930 |
机器收录·待核验 |
| NASA CFRP Composites Run-to-Failure Dataset (PCoE) |
composite_structure |
mxdsxjc01hypa682 |
核心 · 已核验 |
| Random amplitude Compression Compression fatigue tests on single stiffener aerospace structures |
composite_structure |
mxdsq3gtv36ybj26 |
核心 · 已核验 |
| Compression Compression fatigue tests on single stiffener aerospace structures 2 |
composite_structure |
mxdssxryx9w7c479 |
核心 · 已核验 |
| Variable amplitude Compression Compression fatigue tests on single stiffener aerospace structures |
composite_structure |
mxdsefpbdb0vay83 |
核心 · 已核验 |
| ToyADMOS2: miniature-machine operating sounds for anomalous sound detection |
other |
mxdsek5b2z2ef294 |
核心 · 已核验 |
| Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition |
|
mxdsh677dft3c459 |
机器收录·待核验 |
| Synthetic Pump Predictive Maintenance Dataset with Physics-Based Degradation for RUL Modeling |
|
mxds3ex8vcym7p60 |
核心 · 已核验 |
| Gas Processing dataset |
industrial_process |
mxdsbzwxf8fj9s78 |
核心 · 已核验 |
| PHM Asia-Pacific 2023 Conference Data Challenge |
spacecraft_propulsion_system |
mxds3yt8r5b2zy37 |
核心 · 已核验 |
| Operational Digital Twin for Coke Drum Skirt Thermal Stress: Thermocouple-Informed FEA and PINN Transfer Learning Approach |
|
mxds2yvb6sbn2h81 |
核心 · 已核验 |
| 11\u2011Year Performance Degradation of PV Systems in Desert Climates |
|
mxds1mvprnvby354 |
核心 · 已核验 |
| Analog Circuit Fault Diagnosis Dataset |
|
mxdskh0x70vh8n28 |
核心 · 已核验 |
| METALLICADOUR: Detection and diagnostics of multi-axis robot faults |
induction_motor machine_tool industrial_robot |
mxdsf40dgfq9zd97 |
核心 · 已核验 |
| FHC Twin-Plant Photovoltaic Anomaly Detection Dataset |
|
mxds3myrq9br9t87 |
核心 · 已核验 |
| Synthetic Dataset for Photovoltaic Fault Diagnosis Based on Simulated I–V Curve Images and GASF Images |
|
mxds5yvvzaxsh482 |
核心 · 已核验 |
| An Integrated Health Index, Remaining Life Assessment, and Probability of Failure Framework for Critical Electrical Assets |
|
mxdsczyja0wqzj57 |
核心 · 已核验 |
| SIT Large-Format LiFePO4 Battery Degradation Dataset (50 Ah Prismatic Cells) |
battery |
mxdseej4wmt14b42 |
核心 · 已核验 |
| Research on Anomaly Detection for Industrial Robots Based on Temporal Graph Neural Networks and Differential Privacy |
|
mxds4gqx7s7dkg81 |
机器收录·待核验 |
| Lubricating Oil Parameters |
|
mxdspggtjjac3a52 |
核心 · 已核验 |
| Tool Wear Experiment Dataset for the Evaluation of Sensor Informativeness in Longitudinal Turning (ExtraDrey) |
machine_tool |
mxdshxkdcsmdf694 |
机器收录·待核验 |
| Industrial LiFePO₄ Battery Management System Dataset for Early Degradation Analysis and Remaining Useful Life Prediction |
battery |
mxdsfwx9ec569468 |
核心 · 已核验 |
| Vibration and acoustic data of pitch bearing in wind turbines under time-varying load (Cond_1, Cond_2) |
wind_turbine rolling_bearing |
mxdsvajtdhh0hf54 |
核心 · 已核验 |
| Vibration and acoustic data of pitch bearing in wind turbines under time-varying load (Cond_3) |
wind_turbine rolling_bearing |
mxdsr22hqbf75w48 |
核心 · 已核验 |