Predictive Maintenance Systems
Detect failures before they happen, prevent unplanned downtime.
Challenges in Maintenance Management
- Unexpected machine failures and production losses
- High cost of unplanned downtime
- Excessive or insufficient maintenance programs
- Spare parts stocking uncertainty
- Dependency on experienced technicians
- Reactive intervention after failure
Olivenet Predictive Maintenance Solution
- Vibration Analysis
Detect bearing, gear and shaft failures early. FFT analysis with frequency-based evaluation.
- Temperature Monitoring
Track overheating, friction and insulation problems in real-time.
- Motor Current Analysis
Monitor electrical anomalies, load imbalances and motor health.
- Failure Prediction
Remaining useful life (RUL) estimation and failure probability calculation with machine learning.
- Maintenance Optimization
Transition from time-based to condition-based maintenance, reduce costs.
- Alarm & Notification
Instant SMS and app notifications when critical thresholds are exceeded.
System Components
Sensors
- Vibration sensors (3-axis, MEMS/piezo)
- Temperature sensors (contact/non-contact)
- Current transformers (CT)
- Ultrasonic leak detectors
- Industrial-grade IP67 protection
Data Collection
- Edge gateway devices
- LoRaWAN wireless communication
- 4G/LTE cellular connectivity
- Modbus RTU/TCP support
- Real-time data streaming
Analysis Platform
- Trend analysis and FFT spectrum
- Machine learning models
- Anomaly detection algorithms
- Remaining useful life (RUL) estimation
- Benchmark comparison
Reporting
- Machine health scores
- Maintenance recommendations and prioritization
- MTBF/MTTR metrics
- Cost analysis reports
- Automated email delivery
Benefits
Early Detection
See failures weeks in advance
Cost Reduction
Reduce unplanned downtime by up to 70%
Life Extension
Optimize equipment lifespan
Stock Optimization
Know spare part needs in advance
Data-Driven Decisions
Plan maintenance budget based on data
Frequently Asked Questions
Frequently asked questions about predictive maintenance systems
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