| Data for Investigating the Applicability of a Hybrid-Simulation Methodology to Motor Bearing Failure Through Incorporation of Real System Data |
rolling_bearing |
mxdssfyn2w1zrg07 |
核心 · 已核验 |
| AI4I 2020 Predictive Maintenance Dataset (UCI) |
machine_tool |
mxds7aagrykyj812 |
核心 · 已核验 |
| Experimental data for E-ASHA manuscript |
synchronous_motor |
mxdsr40psgd2em25 |
核心 · 已核验 |
| Intelligent bearing fault diagnosis dataset |
rolling_bearing |
mxds2zcywj2ktf51 |
核心 · 已核验 |
| SCA bearing dataset |
rolling_bearing |
mxdsrw9xh6gkdd29 |
核心 · 已核验 |
| Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Subset3 |
rolling_bearing |
mxdsz408xkppxe76 |
核心 · 已核验 |
| ZZU-MCC5 motor fault diagnosis datasets |
induction_motor |
mxdstda967jnbb43 |
核心 · 已核验 |
| Multimodal dataset for wind turbine blade monitoring during lightning strikes |
wind_turbine |
mxds6y6b9257z921 |
核心 · 已核验 |
| Partial Dataset from Dry Machining Experiments on Ti6Al4V for Tool Wear Prediction Using LIME and SHAP |
|
mxdsg59ydzf6na35 |
机器收录·待核验 |
| Penmanshiel Wind Farm Data (SCADA) |
wind_turbine |
mxds2m4tvmmp6b61 |
核心 · 已核验 |
| PHM2010 dataset |
machine_tool |
mxdst3p7r4e4ng47 |
核心 · 已核验 |
| Airbus Helicopter Accelerometer Dataset |
helicopter |
mxdsrdt0ymw9kg91 |
核心 · 已核验 |
| C-MAPSS Turbofan Engine Degradation Simulation Dataset |
aero_engine |
mxdsbhdhsqd02k42 |
核心 · 已核验 |
| Kelmarsh Wind Farm Data (SCADA) |
wind_turbine |
mxdspkjp8fzfh973 |
核心 · 已核验 |
| Additional Tennessee Eastman Process Simulation Data for Anomaly Detection |
industrial_process |
mxdsad24z6bwmj88 |
核心 · 已核验 |
| Transfer learning-based fault detection in wind turbine blades using radar plots and deep learning models |
wind_turbine |
mxdsv7rxfpq43684 |
核心 · 已核验 |
| "EJUST-PdM-1" |
rotor_system |
mxds61a84kcjhn46 |
核心 · 已核验 |
| LASPI: Detection and diagnostics of gearbox faults |
gearbox induction_motor |
mxdst4a3rg6vmv90 |
核心 · 已核验 |
| Bridge Structural Health Monitoring Dataset: Train-Induced Vibration Data Under Multiple Damage Scenarios |
|
mxdsxa6zzvbvx051 |
核心 · 已核验 |
| The degradation results with different operating conditions for Bat-1 |
|
mxds63vwyhbsfx08 |
机器收录·待核验 |
| Data Set of Load Tests and Structural Health Monitoring of a concrete boxgirder bridge |
|
mxds7m1pg2nr6c38 |
机器收录·待核验 |
| Three-phase PMSM with ITSC Faults of Stator Winding Dataset |
synchronous_motor |
mxdsc1esyek39947 |
核心 · 已核验 |
| Multi-Fault Dataset for Multirotor UAVs with Single- and Double-Magnitude Faults |
rotorcraft_uav |
mxds0xme9xwzb154 |
核心 · 已核验 |
| SKAB - Skoltech Anomaly Benchmark |
pump |
mxdspwv4k2ad0777 |
核心 · 已核验 |
| Wind turbine fault diagnosis dataset (FAST-NREL 5MW) |
wind_turbine |
mxds8sx8fn3cej33 |
核心 · 已核验 |
| Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults |
wind_turbine induction_motor |
mxds3ha2qrhdb353 |
核心 · 已核验 |
| Ballbearing Vibration Dataset |
rolling_bearing |
mxds4d5b0j5ddj05 |
核心 · 已核验 |
| Experimental Vibration Data for Structural Health Monitoring (SHM) of Cracked Rotor Systems |
rotor_system |
mxds29jf2pjng092 |
核心 · 已核验 |
| Acoustic Emission dataset for impact localization: numerical and experimental case studies |
|
mxdsj4g8j2e24y07 |
机器收录·待核验 |
| Replication Data for: Damage detection in chain and synthetic mooring lines of Floating Offshore Wind Turbines |
wind_turbine |
mxdstzxjzezmn318 |
核心 · 已核验 |
| PHM Europe 2026 Conference Data Challenge |
synchronous_motor |
mxds3d1br126cb18 |
核心 · 已核验 |
| SCIG Inter-turn Short-Circuit Fault Dataset |
induction_motor |
mxdsfk3xhsc0b223 |
核心 · 已核验 |
| datasets for Exact First-Passage Time Distributions for Discrete Degradation Processes via Wald's Martingale: A Unified Framework for RUL Prediction |
|
mxdswxstvrm88815 |
机器收录·待核验 |
| Aventa AV-7 (6kW) IET-OST Research Wind Turbine SCADA |
|
mxds8z8xjwpcvt42 |
机器收录·待核验 |
| HB-bearing fault dataset |
rolling_bearing |
mxdsryss7xz7vv79 |
核心 · 已核验 |
| FM-CGFCN |
rotor_system rolling_bearing |
mxds8rhrdnmn3950 |
核心 · 已核验 |
| PHM North America 2024 Conference Data Challenge |
aero_engine |
mxdsv27xjgmh4a44 |
核心 · 已核验 |
| Condition Monitoring of Hydraulic Systems (ZeMA, UCI) |
hydraulic_system |
mxdsspqq95yz9f56 |
核心 · 已核验 |
| Detection of Low-Frequency Displacements on a Wooden Footbridge Using Dual Total Stations and Time-Series Alignment |
|
mxds7gyp8khgae17 |
机器收录·待核验 |
| Taper roller bearing datasets |
rolling_bearing |
mxdsq8fwcmf63272 |
核心 · 已核验 |
| MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation |
pump other |
mxds5cnmk52xe733 |
核心 · 已核验 |
| Rotating Machinery Vibration Dataset for Bearing and Unbalance Faults (ISAC Lab Dataset) |
|
mxdss4jthskag691 |
机器收录·待核验 |
| Exploiting Neural Networks for Crack Localization in AMB-supported Turbomachinery - Dataset 1 |
rotor_system |
mxdsw6h1bx3tx638 |
核心 · 已核验 |
| HUST bearing: a practical dataset for ball bearing fault diagnosis |
rolling_bearing |
mxds9c1e6eqj9475 |
核心 · 已核验 |
| PHM North America 2025 Conference Data Challenge |
aero_engine |
mxdstj5kfcb5r475 |
核心 · 已核验 |
| The Industrial Screen Printing Anomaly Detection Dataset (ISP-AD) |
|
mxdsh4pe91xj1754 |
机器收录·待核验 |
| External Validation Before Model Complexity: Reproducibility Package for Recursive Lithium-Ion Battery RUL Forecasting |
battery |
mxdsyz3mdvpych02 |
核心 · 已核验 |
| MOIRA-UNIMORE Bearing Dataset for Independent Cart Systems |
rolling_bearing |
mxdsnpx3ny8smg49 |
核心 · 已核验 |
| Vibrations signals of a ball bearing fault during different operating conditions |
|
mxdsxp8wth9x4s94 |
机器收录·待核验 |
| Data on cavitation and flow field characteristics of pump-jet propulsors |
|
mxds26gng3118d32 |
机器收录·待核验 |