Equipment Predictive Maintenance & Anomaly Detection
AI finds equipment abnormalities first and prevents failures.
Creates a stable and reliable production line through prediction and detection.
By learning equipment data, it detects abnormal signs early and enables preventive actions before failures occur.
By collecting and analyzing key equipment data such as temperature, vibration, and current in real time, it notifies managers of abnormal patterns and suggests optimal response measures.
Key Features
AI Predictive Maintenance
Analyze changes in equipment conditions and take pre-actions before failures occur.
Anomaly Detection
Automatically detect data that differs from normal patterns and notify immediately.
Operational Efficiency
Reduce unexpected equipment downtime and secure production line stability.
Cost Reduction
Save unnecessary repair or replacement costs through prediction-based maintenance.
Equipment predictive maintenance and anomaly detection are not simple maintenance, but key technologies that create a safer and more efficient production environment.