Predictive Maintenance for Industrial Machines

Apex Manufacturing faced significant production losses due to unexpected machine breakdowns and inefficient reactive maintenance schedules. They needed a proactive solution.

AI Booster's Core AI team implemented a predictive maintenance system.

• Unscheduled downtime disrupting production.
• High costs associated with emergency repairs.
• Lack of insight into machine health and potential failures.

We deployed IoT sensors on critical machinery to collect real-time operational data. An AI model was then trained to detect anomalies and predict potential failures before they occur. This enabled:

1. Early Warning System: Alerts for impending equipment issues.
2. Optimized Maintenance Schedules: Shifting from time-based to condition-based maintenance.
3. Root Cause Analysis: Identifying patterns leading to failures.

• 40% reduction in unscheduled machine downtime.
• 25% decrease in overall maintenance costs.
• Increased operational efficiency and production throughput.