Start with critical assets, extend sensor coverage to fit the plant, and help teams rank the work that needs attention.
Each layer adds context to how a plant monitors, investigates and prioritises equipment.
Apply equipment-specific analysis to critical assets where an unexpected stop carries the greatest operational risk.
Extend condition monitoring across the rest of the plant using the sensing approach that fits each asset.
Rank what to maintain, stock and replace by risk, and share the resulting context with enterprise systems.
RevUptime’s failure-mode framework covers 20+ modes in each family. These selected examples show why condition signals need to be interpreted with machine and process context.
Mechanical condition changes associated with bearings, rotating forces, fits, lubrication and drive components.
Changes driven by thermal, material, flow or production behaviour across specific industrial processes.
Examples are not a complete mode list or an automatic diagnosis. Detectability depends on installed sensors, signal quality, operating context and site validation. Confirm suspected causes with qualified personnel and site procedures.
Review asset suitability, operating context and pilot priorities with the RevUptime team.