| UConn in-house Gearbox Dataset |
|
mxds85fhpffzfj16 |
机器收录·待核验 |
| Energy Storage Power Station Lithium-Ion Battery Real-World Operation Dataset |
battery |
mxdsgxzm443hw787 |
核心 · 已核验 |
| ElhamDataset for Fault Detection in Quadruped Robots: Healthy and Faulty Simulation Data in PyBullet |
|
mxdsxks3kbtf3n24 |
核心 · 已核验 |
| Raw vibration signals of blades with different cracked zones in a wind turbine in operation |
|
mxds3y5dd0s6kk69 |
机器收录·待核验 |
| Rotating infrared insulator |
|
mxdsfd3nwwtax829 |
核心 · 已核验 |
| A Monte Carlo-based Sallen-Key benchmark dataset for data-driven predictive maintenance and few-shot fault diagnosis |
|
mxds8e9ykdnc4n86 |
核心 · 已核验 |
| Pressure Signal Dataset for Leak Detection in Electro-Pneumatic Systems |
|
mxds0zwqd4ahyr58 |
核心 · 已核验 |
| Guided Wave SHM Data taken from Water Tank 2012-2020 |
|
mxdsx2e3g0a11t57 |
机器收录·待核验 |
| Centrifugal Pump Multi-Fault Vibration Dataset under Long-Tailed Distributions |
pump |
mxdsvbm5z5b3wb76 |
核心 · 已核验 |
| Unsupervised domain-adaptive Transformer for remaining useful life prediction of proton exchange membrane fuel cells under dynamic ripple-current ageing |
|
mxds1kwyzqpzrp07 |
核心 · 已核验 |
| Open Dataset of Galvanostatic and Potentiostatic EIS Measurements on Low-Impedance Energy Storage Devices |
|
mxdsszrmatd1ka02 |
核心 · 已核验 |
| ArcSafe-60 |
|
mxdsr5h0bwm0k019 |
核心 · 已核验 |
| Experimental Vibration Data for Structural Health Monitoring (SHM) of a rotor with Mechanical Looseness |
rotor_system |
mxdssxzaaw5kt614 |
核心 · 已核验 |
| Aging data based on cogeneration profile |
fuel_cell |
mxdsy5fds6yad313 |
核心 · 已核验 |
| Microscopic Dataset of Cutting Tool Flank Wear with Quantitative Measurements and Expert Labels |
|
mxdsd81dy3pbg736 |
机器收录·待核验 |
| UTDTB v5: Universal Turbofan Digital Twin Benchmark for Physics-Informed Prognostics |
|
mxdsjeh8esy6sm50 |
机器收录·待核验 |
| Acoustic emission dataset of single-stiffener composite panels subjected to impact and run-to-failure fatigue loading |
|
mxds3j9347fnzs10 |
核心 · 已核验 |
| Gearbox run-to-failure dataset (gear wear: abrasive wear and surface pitting) |
|
mxdstc1day0eb039 |
机器收录·待核验 |
| Drone monitoring data and corresponding fault knowledge |
unmanned_aerial_vehicle |
mxdsqh8sktvcpg14 |
核心 · 已核验 |
| Edge-AI Sensor Dataset for Real-Time Fault Prediction in Smart Manufacturing |
industrial_process |
mxdsemkt80sa1x91 |
核心 · 已核验 |
| PEM fuel cell polarization test under different temperatures |
fuel_cell |
mxdsckdddpbrhd24 |
核心 · 已核验 |
| Walsh Matrix Analysis and Feed Forward Neural NEtowrk based Fault Detection Technqiue |
|
mxdsykv0vz7ff906 |
候选 · 未审核 |
| Fe-Cr Redox Flow Battery SOH Cycling Dataset (v1.0) |
|
mxdsh22jc5tcs015 |
机器收录·待核验 |
| X-Plane Flight Simulator Engine Failure Dataset |
aero_engine |
mxdsjp836nnma385 |
核心 · 已核验 |
| Compression Compression fatigue tests on single stiffener aerospace structures |
composite_structure |
mxdst020jyhrtz80 |
核心 · 已核验 |
| The multi sensor-based machining signal fusion to compare the relative efficacy of machine learning based tool wear models |
machine_tool |
mxdssq80n1a3gc11 |
核心 · 已核验 |
| Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset - version 2: result data] |
battery |
mxdskejwhqxgvj19 |
核心 · 已核验 |
| Wind Turbine Blade Defect Dataset |
|
mxdsksx1bg9ce305 |
候选 · 未审核 |
| Wind turbine condition monitoring dataset of Fraunhofer LBF |
|
mxds3cvcya564e31 |
机器收录·待核验 |
| A Dataset of Seismic and Ambient Vibrations from a 16-Story Building in Bucharest, Romania, Capturing the 10 Largest Vrancea Earthquakes (ML 4.0-4.4) of 2025 |
|
mxdsazk0sk9bpf33 |
机器收录·待核验 |
| "CNC machine tool fault data" |
machine_tool |
mxdshp8qmkcvdc37 |
核心 · 已核验 |
| Aging data based on daily cogeneration profile |
fuel_cell |
mxdsx1z7rr817e74 |
核心 · 已核验 |
| Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset] |
battery |
mxds88vdd2ye3w15 |
候选 · 未审核 |
| Associated Dataset for High-Impedance Ground Fault Identification in Distribution Networks |
|
mxds6t07rbywgk34 |
核心 · 已核验 |
| DT-MAS architecture for smart maintenance of aircraft fuel distribution systems |
pump aero_engine |
mxdsfzjmag74a872 |
核心 · 已核验 |
| Fault Simulation Data of a Central Air Conditioning System in Changsha, China, for the Year 2025 |
|
mxds0csee3kh4h12 |
核心 · 已核验 |
| Cleaned and Preprocessed Aventa AV-7 Wind Turbine SCADA Dataset for Anomaly Detection and Cybersecurity Research |
|
mxdsnmak1kj33y43 |
机器收录·待核验 |
| Dataset for "Experimental Study on Cycle Aging of 3.4 Ah Lithium-Sulfur Pouch Cells: Temperature and Current Investigation" |
|
mxdscshzvmvmtm25 |
机器收录·待核验 |
| A Dataset of Seismic and Ambient Vibrations from a 12-Story Building in Bucharest, Romania, Capturing the 10 Largest Vrancea Earthquakes (ML 4.0-4.4) of 2025 |
|
mxds3t27dm2xgr15 |
机器收录·待核验 |
| An experimental framework for determining wear in porous journal bearings operated in the mixed lubrication regime |
journal_bearing |
mxds4xzrse8jy985 |
核心 · 已核验 |
| The WEICan Data used in the paper "An accumulation method for early fault warning and its application to wind turbine systems" |
|
mxdsxgc4eqpety98 |
机器收录·待核验 |
| Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods |
|
mxdssw5x45j90657 |
机器收录·待核验 |
| Offboard laser Doppler vibrometry dataset for UAV propeller fault diagnosis |
rotorcraft_uav |
mxds6mhg3cegp672 |
核心 · 已核验 |
| IEA Wind TCP Task 49 Failure Risk Mitigation for Floating Offshore Wind Arrays |
wind_turbine |
mxdsrd6r8hq5kv38 |
核心 · 已核验 |
| A Multifunction Vehicle Bus Physical-Layer Dataset for Network Fault Diagnosis in Rail Transit Systems |
|
mxdsa8ta93n5kc84 |
核心 · 已核验 |
| A Dataset of Seismic and Ambient Vibrations from an 8-Story Building in Bucharest, Romania, Capturing the 10 Largest Vrancea Earthquakes (ML 4.0-4.4) of 2025 |
|
mxdsat69sjd1g855 |
机器收录·待核验 |
| Vibration Data from 37-story Building in Bangkok During 7.7Mw Earthquake on 28 March 2025. |
|
mxds6jerezgvyj38 |
机器收录·待核验 |
| Dataset from cutting tool performance and cutting edge quality testing in relation to machining process parameters |
|
mxdscps0zxx2nn61 |
机器收录·待核验 |
| Bearing Database - Combined Failure (Test 2) |
|
mxdsbgerfg0g8k51 |
机器收录·待核验 |
| A Dataset of Seismic and Ambient Vibrations from a 4-Story Building in Bucharest, Romania, Capturing the 10 Largest Vrancea Earthquakes (ML 4.0-4.4) of 2025 |
|
mxds9cega4q5vs49 |
机器收录·待核验 |