AI-Driven Predictive Maintenance for Paper Plants

Paper manufacturing relies on asset-intensive, rotating machinery that runs in harsh conditions (high temperature, humidity, and loads), making equipment prone to early degradation and unexpected failures. The document describes how the Industrial AI platform PlantOS monitors 900+ critical assets across 25+ paper plants, has detected 1,500+ early-stage faults, and helped prevent over 2,500 hours of unplanned downtime.

Reported reliability gains include >99% machine availability and a 20% reduction in mean time to repair (MTTR).

This white paper also covers paper-mill-specific maintenance challenges, the importance of choosing the right sensor technology, and how Industrial AI enables predictive and prescriptive maintenance instead of reactive troubleshooting.   Download the white paper to find out more details.