Industrial Equipment Maintenance Data
Real-time sensor data for industrial equipment with maintenance history. Designed for developing predictive maintenance models, failure mode analysis, and maintenance planning systems.
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Real-time sensor data for industrial equipment with maintenance history. Designed for developing predictive maintenance models, failure mode analysis, and maintenance planning systems.
View DatasetIndustrial equipment sensor data with real-time measurements for predictive maintenance and decision support. Combines temperature, vibration, pressure readings with maintenance costs and failure probability scores.
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 DatasetBenchmark dataset from Bosch for process monitoring of milling machines based on high-resolution acceleration data.
View Dataset945 IoT sensor records from IBM's official repo monitoring equipment with pressure measurements for machine failure prediction.
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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