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Industrial Equipment Maintenance Data

Industrial IoT & Predictive Maintenance Industrial IoT
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Catalog Summary

"Real-time sensor data for industrial equipment with maintenance history. Designed for developing predictive maintenance models, failure mode analysis, and maintenance planning systems."

Catalog Notes

Dataset Overview

Comprehensive industrial maintenance dataset combining continuous sensor monitoring with historical maintenance records. Covers various equipment types in manufacturing environments with real-world failure modes and repair costs.

Equipment Coverage

  • Motor-driven machinery (pumps, compressors, fans)
  • Rotating equipment (bearings, gearboxes)
  • Heat exchangers
  • Hydraulic systems
  • Electrical switchgear

Sensor Data

  • Mechanical Sensors: Vibration (acceleration, velocity), temperature
  • Electrical Sensors: Current draw (A), power consumption (kW), voltage (V)
  • Operational Data: Run hours, speed (RPM), load percentage
  • Maintenance Records: Work orders, repair costs, downtime hours

Data Characteristics

  • Records: 10,000+ equipment observations
  • Time Period: 2+ years operational history
  • Failure Modes: 20+ documented failure types
  • Label Balance: 70% normal, 30% failure-prone equipment

Research Applications

Predictive maintenance model development, remaining useful life estimation, failure classification, maintenance cost optimization, and condition-based maintenance planning.

Data Preview

Equipment_IDTimestampVibration_mm_sTemperature_CCurrent_ARun_HoursFailure_Status
PUMP_0012024-01-15 10:303.268.512.415840Normal
MOTOR_0022024-01-15 10:308.992.318.724560Failure_Risk
PUMP_0012024-01-15 11:003.569.112.615870Normal

Showing first few rows for preview

Provided Citation

Mayur Gadekar (2024). Industrial Equipment Maintenance Data. Kaggle. Retrieved from https://www.kaggle.com/datasets/mayurgadekar5555/industrial-equipment-maintenance-data

This citation is displayed as supplied. Automatic style conversion is disabled because structured citation metadata is not recorded.

Source metadata: Kaggle (2026)

Indexed by IoTDataset.com on Jan 13, 2026

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