Prädiktive Instandhaltung reduziert unvorhergesehene Ausfälle der Halbleiteranlagen

Predictive maintenance uses operating trends and equipment condition data to plan service before performance declines. NOWA supports customers in connecting inspection results, machine signals, and maintenance records so that service decisions are based on actual condition.

Key developments

• Spindle load, vibration, temperature, alarms, and cycle time reveal early signs of wear.
• Condition-based service helps avoid both unexpected failure and unnecessary part replacement.
• Standard maintenance records make equipment performance easier to compare across production lines.

Practical value for manufacturers

These capabilities help production teams make decisions with clearer evidence, shorten the time needed to investigate deviations, and maintain stable output as product requirements change. Effective implementation combines suitable equipment, controlled processes, useful data, and clear responsibility for follow-up.

NOWA’s approach

NOWA works with customers to review the application, identify the most valuable improvement opportunity, and define a practical verification plan. The goal is to introduce automation and AI vision in a way that supports measurable quality, efficiency, and reliability improvements on the production floor.