Predictive Maintenance
AI-Driven Predictive Maintenance System
Eliminate unplanned downtime and extend asset life with our AI-powered Predictive Maintenance solution. By continuously monitoring equipment health through IoT sensors and analyzing data with advanced machine learning models, we predict failures before they happen.
Why Move to Predictive Maintenance?
Zero Unplanned Downtime – Receive alerts days or weeks before a failure occurs.- Reduced Maintenance Costs – Only service machines when they actually need it.
- Extended Equipment Life – Prevent catastrophic failures that permanently damage assets.
- Inventory Optimization – Order spare parts just-in-time, reducing carrying costs.
Key Features
Real-Time Condition Monitoring
Live tracking of vibration, temperature, acoustic, and power parameters from your machines.
AI Failure Prediction
Proprietary ML algorithms analyze patterns to forecast specific failure modes (bearing wear, misalignment, etc.).
Smart Alerting System
Instant notifications via SMS, Email, or App when anomalies are detected, with actionable recommendations.
Seamless ERP Integration
Automatically trigger maintenance work orders in SAP, Intellia ERP, or other ERPs when issues are predicted.
Supported Assets
- Rotating Machinery: Motors, pumps, fans, compressors, gearboxes.
- Electrical Assets: Transformers, switchgear, control panels.
- Process Equipment: Conveyors, extruders, mixers, CNC machines.
Maximize OEE Today
Stop reacting to breakdowns. Start predicting them with Cybs Predictive Maintenance.