A maintenance approach that uses condition data and analytical techniques to predict equipment failures before they occur.
Predictive Maintenance (PdM) is a maintenance strategy that uses condition monitoring, operational data, engineering analysis and predictive algorithms to estimate when equipment is likely to fail so that maintenance can be performed before functional failure occurs. It enables maintenance activities to be planned based on predicted asset condition rather than fixed schedules.
Predictive Maintenance uses data-driven analysis to forecast equipment failures and optimize maintenance activities.
Predictive Maintenance commonly incorporates condition monitoring technologies such as vibration analysis, thermography, oil analysis, ultrasonic testing and machine learning to improve maintenance planning and asset reliability.
Predictive Maintenance forecasts future equipment failures using analytical models, whereas Condition-Based Maintenance initiates maintenance based on the current measured condition of the asset.
Maintenance Management; Reliability Engineering; Asset Management.
Manufacturing.; Oil and gas.; Petrochemical.; Utilities.; Infrastructure.
ISO 17359; ISO 13374; ISO 13381-1
VisualAIM connects glossary concepts to the asset records, inspection histories, and workflows they describe.