The integration of condition monitoring data with maintenance management systems can provide a valuable strategic advantage in asset management. By understanding the condition of an asset, predictive maintenance techniques can help significantly reduce maintenance costs. Although solutions by asset management software vendors exist, the software system interfaces are typically not open, making integration and customisation difficult.

A system was proposed that utilises open standard architectures for condition monitoring systems and asset management data exchange. Both the OSA-CBM and MIMOSA OSA-EAI standards support XML-based technologies, which leads to the natural adoption of a web services communications platform. The condition monitoring modules can be configured with advanced models to determine effectively the asset health and reliability for the purposes of predictive maintenance.