OPPORTUNITY: Wearable, Object and Ambient Sensor Activity Data
Body-worn, object and ambient sensor recordings of daily activities from four participants: 24 runs, 869,387 samples, 242 sensor channels and seven annotation tracks.
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Body-worn, object and ambient sensor recordings of daily activities from four participants: 24 runs, 869,387 samples, 242 sensor channels and seven annotation tracks.
View DatasetA multi-sensor dataset from a real manufacturing environment monitoring CNC machine degradation through vibration, temperature, current, and acoustic emission sensors over a 6-month period.
View DatasetMultivariate dataset exploring the integration of IoT sensor data with AI algorithms across multiple domains. Features diverse sensor types, environmental parameters, and AI model performance metrics for hybrid intelligent systems research.
View DatasetSimulated run-to-failure degradation data from turbofan jet engines. This dataset is widely used as the benchmark for predicting Remaining Useful Life (RUL) in industrial systems.
View DatasetMulti-sensor data (pressure, temperature, flow) from a hydraulic test rig for fault diagnosis of cooler, valve, pump, and accumulator.
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