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Predictive maintenance with AI

Andreas Mühlbauer,

Predictive maintenance for SMEs

Operating machines reliably and efficiently is a key challenge in industry - especially for small and medium-sized companies. There is often a lack of internal data science expertise to systematically analyze operating and status data and identify patterns. This is precisely where Aiomatic comes in.

© ai-omatic solutions

Aiomatic provides the data expertise - and an AI-supported predictive maintenance solution that has been further developed over five years. The smart algorithm can be flexibly applied to a wide variety of machines. The software continuously analyzes sensor data such as vibrations, temperatures and current curves. This enables it to detect anomalies at an early stage - often weeks before a potential failure. This avoids unplanned downtime and increases system availability.

Fast integration - no large-scale IT project required

The solution can be easily integrated into existing systems. Thanks to standardized interfaces (e.g. OPC UA, MQTT) and an intuitive user interface, commissioning is completed quickly. Maintenance benefits immediately.

As digitalization progresses, predictive maintenance is becoming a key technology for efficient maintenance - and a strategic advantage for SMEs.

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