NASA Turbofan Engine Degradation Simulation
The gold standard dataset for Predictive Maintenance (PdM). Simulates engine degradation over time to predict Remaining Useful Life (RUL).
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The gold standard dataset for Predictive Maintenance (PdM). Simulates engine degradation over time to predict Remaining Useful Life (RUL).
View DatasetReal traffic data from 9 commercial IoT devices infected by Mirai and BASHLITE botnets. Used for developing anomaly detection systems.
View DatasetMulti-sensor data from a smart office building tracking energy consumption, CO2 levels, and occupancy to optimize HVAC systems.
View DatasetIoT sensor data simulating a blockchain-enabled supply chain, tracking temperature, vibration, and location for logistics optimization.
View DatasetVibration sensor data for diagnosing mechanical faults in rotating machinery, covering healthy states vs. inner/outer race faults.
View DatasetTraffic volume data classified by vehicle type (Car, Bike, Bus, Truck) for urban traffic flow prediction and congestion management.
View DatasetPower generation data from two solar power plants over a 34-day period, including inverter performance and weather sensor readings.
View DatasetReal-time water quality monitoring (pH, DO, Turbidity) using IoT sensors to predict fish health in aquaculture ponds.
View DatasetAutomated crop classification using morphological features captured by optical sensors for smart processing plants (Cammeo & Osmancik varieties).
View DatasetTime-series monitoring of air pollutants (CO, NOx, O3) and environmental factors using chemical sensors in a smart city infrastructure.
View DatasetEnergy usage monitoring of a smart house, including 20 sensors tracking temperature, humidity, and weather data for energy forecasting.
View DatasetInertial sensor data (Accelerometer/Gyroscope) for detecting human activities like walking, sitting, and standing for health monitoring.
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