Predictive Maintenance
Stop reacting. Start predicting. Eliminate unplanned downtime before it costs you.
60%
Less unplanned downtime
3-14 days
Advance failure warning
45%
Reduction in maintenance costs
Overview
Monitory combines vibration analysis, thermal data, humidity tracking, RPM monitoring, and historical patterns to forecast equipment failures days or weeks in advance. Fixed thresholds catch obvious issues; AI-tuned variable thresholds adapt to your equipment's unique operating profile. Your team gets clear, actionable alerts, not noise, so they can fix issues on their terms, not the machine's.
Bearing wear: vibration + temp trend correlation
Estimated failure in 8-12 days
Capabilities
What you get with Predictive Maintenance
Vibration Analysis
Continuous monitoring of vibration signatures to detect bearing wear, misalignment, and imbalance before failure.
Thermal Monitoring
Track temperature trends across equipment to identify overheating, friction, and insulation breakdown.
Humidity & Environment
Monitor humidity, ambient conditions, and environmental factors that accelerate corrosion, insulation degradation, and bearing wear.
RPM & Speed Tracking
Continuous RPM monitoring with deviation alerts for motors, spindles, and rotating equipment, correlating speed changes with load and health.
Fixed & Variable Thresholds
Set fixed alarm limits for critical parameters and let AI dynamically tune variable thresholds based on your equipment's unique operating profile.
Failure Prediction
Machine learning models trained on your equipment history to forecast remaining useful life with confidence scores.
Root Cause Analysis
Automatic correlation of sensor data, maintenance history, and environmental factors to identify failure root causes.
How It Works
Monitory ingests sensor data from your existing equipment. No rip-and-replace required. Our AI models learn your specific operating patterns.
- Connect to existing sensors via IoT gateways or direct integration
- AI learns normal operating baselines within 2-4 weeks
- Continuous anomaly detection against established baselines
- Automatic work order generation when thresholds are breached
Connect to existing sensors via IoT gateways or direct integration
AI learns normal operating baselines within 2-4 weeks
Continuous anomaly detection against established baselines
Automatic work order generation when thresholds are breached
Built for Real Plants
We know manufacturing floors aren't data-science labs. Monitory works with the data you have, not the data you wish you had.
- Works with incomplete or noisy sensor data
- No data-science team required; models self-tune
- Runs alongside existing SCADA and PLC systems
- Results visible within the first month of deployment
Works with incomplete or noisy sensor data
No data-science team required; models self-tune
Runs alongside existing SCADA and PLC systems
Results visible within the first month of deployment
Stop reacting to failures
See how Monitory can predict equipment issues days before they happen, with the data you already have.