Predictive Maintenance for Building Electrical Assets
THEME ALIGNMENT
Data collection, security, and integration
View ThemeModelling, Simulations and Prognostics
View ThemeInfrastructure Health Monitoring and Predictive Maintenance
View ThemeINDUSTRY PROBLEM
Fredon is a member of the Asset Institute and a leading provider of engineering, installation and maintenance solutions through our Asset Services, Electrical & Communications, HVAC, Technology, Security and Infrastructure divisions. A core part of Fredon’s business is electrical services including the design and installation of lights, batteries, and building systems control. Fredon has contracts to maintain these assets as well. Yet, maintenance plans for these assets are typically based on conservative, inflexible, and not rigorously justified schedules. Moreover, such time-based approaches do not adjust to the in situ condition degradation. This project will develop tools to move Fredon towards a more data-driven predictive approach, including remaining useful life (RUL) estimation of key assets and incorporating this information into optimal maintenance decision models.