| TBSI Sunwoda Battery Dataset |
|
mxds2cs6xjzk5975 |
机器收录·待核验 |
| ESTOGU: A Multimodal Motor Condition Monitoring Dataset for Fault Diagnosis in Electrical Machines |
induction_motor |
mxdsw457nn5gpf95 |
核心 · 已核验 |
| Health Indicator Degradation Dataset |
aero_engine |
mxdss7as1ras3y15 |
核心 · 已核验 |
| A Spatiotemporal Feature Fusion Soft Sensor Model for Robotic Machining |
machine_tool |
mxds8t0gacz9we41 |
核心 · 已核验 |
| Dataset of Vibration, Temperature, and Speed Measurements for Spherical Roller Bearings with Single, Dual, and Multi-Bearing Defects Under Variable Loads |
|
mxdshjyn01w4wv46 |
机器收录·待核验 |
| Measurement-to-Protection Readiness in Induction Motor Condition Monitoring: Aggregate Data, Figures, and PRL Pilot Validation |
|
mxds9h64em87e940 |
机器收录·待核验 |
| Coherence-Bounded Virtual Sensing of Deepwater Drilling Riser and Wellhead Loads via Machine Learning |
|
mxds5p90sstqe465 |
候选 · 未审核 |
| NASA Milling Dataset (BEST Lab / PCoE) |
machine_tool |
mxdsv039x1q0s464 |
核心 · 已核验 |
| PHM North America 2026 Conference Data Challenge |
gearbox |
mxdsz0yga7cbfs63 |
核心 · 已核验 |
| "Open multimodal dataset for rolling bearing degradation" |
rolling_bearing |
mxds8dds91wrd065 |
核心 · 已核验 |
| ME-AD: Progressive Robotics Anomaly Detection Dataset |
|
mxds0xf6z36k3v11 |
机器收录·待核验 |
| Bearing run-to-failure datasets of UNSW |
|
mxds5cam704trw35 |
机器收录·待核验 |
| NASA Capacitor Electrical Stress Dataset (PCoE) |
power_electronics_device |
mxdsvwcx8vfnpz60 |
核心 · 已核验 |
| PVP-3D: 3D Point Cloud Dataset for Structural Health Monitoring of Photovoltaic Poles |
|
mxds7htenvx0xx31 |
机器收录·待核验 |
| 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 |
| #0 Fault Training Data |
|
mxdscz3trd5p6v02 |
候选 · 未审核 |
| Dataset for Categorical Analysis of Failure Drivers in Industrial Robots (KUKA KR 6 R900) |
machine_tool |
mxdsygwm92jr2760 |
候选 · 未审核 |
| 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 |
| FE-DGCAN DataSet |
|
mxds9e035bgnf214 |
候选 · 未审核 |
| FEMTO Bearing Data Set (PRONOSTIA, IEEE PHM 2012 Challenge, NASA PCoE #10) |
|
mxdshrfs9kgrye16 |
候选 · 未审核 |
| 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 |