Rotating Equipment Maintenance & Management System

Predictive maintenance is based on a PHM (Prognostics and Health Management) approach, enabling a shift from reactive and time-based maintenance to data-driven strategies. By analyzing vibration and process data, it supports early fault detection and accurate condition assessment. Advanced algorithms identify typical failure modes such as rotor imbalance, bearing wear, and gear defects. This approach helps reduce unplanned downtime, improve maintenance efficiency, and support more reliable operation of rotating equipment.

Equipment registry and spare parts management provide a structured and centralized way to manage asset information and maintenance resources. Equipment data, technical documents, spare parts details, and maintenance records are linked and easily accessible. This enables quick identification of required parts, faster troubleshooting, and better use of historical data. The approach improves maintenance efficiency, reduces downtime, and supports more effective lifecycle management of rotating equipment.