Abstract
"Industrial 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."
Description
Dataset Purpose
Designed for developing predictive maintenance models for smart manufacturing systems. Integrates real-time sensor data with maintenance decision criteria to support proactive equipment servicing and failure prevention.
Key Features
- Real-Time Sensors: Temperature (°C), vibration (mm/s), pressure (PSI), acoustic emissions (dB)
- Maintenance Metrics: Inspection duration, technician availability, downtime cost
- Computed Features: Failure probability score (0-1 scale)
- Target Variable: Maintenance priority (High, Medium, Low)
Data Characteristics
- Records: 1,428 equipment observations
- Features: 10 columns
- File Size: 138.36 KB
- Format: CSV
- Preprocessing: Ready for immediate use
Applications
Equipment health diagnostics, preventive maintenance scheduling, failure risk assessment, multi-criteria decision making (MCDM) for maintenance planning, and intelligent factory management.
Data Preview
| Timestamp | Machine_ID | Temperature_C | Vibration_mm_s | Pressure_PSI | Failure_Probability | Maintenance_Priority |
|---|---|---|---|---|---|---|
| 2025-01-10 08:00 | M001 | 72.3 | 2.4 | 85.2 | 0.15 | Low |
| 2025-01-10 09:00 | M002 | 78.5 | 3.8 | 92.1 | 0.68 | High |
| 2025-01-10 10:00 | M003 | 65.1 | 1.9 | 79.5 | 0.32 | Medium |
Showing first few rows for preview
Cite This Dataset
External (2026). Smart Manufacturing Maintenance Dataset. [Dataset]. External. https://www.kaggle.com/datasets/ziya07/smart-manufacturing-maintenance-dataset
Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.
Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 13, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.