MetroPT-3: Predictive Maintenance for Metro Trains
Real-world data from a metro train's Air Production Unit (APU), capturing pressure, temperature, and motor current to predict component failures.
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Real-world data from a metro train's Air Production Unit (APU), capturing pressure, temperature, and motor current to predict component failures.
View DatasetReal-time sensor data for industrial equipment with maintenance history. Designed for developing predictive maintenance models, failure mode analysis, and maintenance planning systems.
View DatasetDaily sensor measurements from an urban waste water treatment plant for operational efficiency analysis.
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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