1、Optimising asset management through predictive and proactive maintenanceKris Andrews Manger Asset DigitalMay 2025Traditional maintenanceRun to failureInterval basedCondition basedGenerally based on a combination of OEM recommendations,FMEA&RCMMaintenance Decision LogicRedesignIs there an effective C
2、M technology or approach?FPTimeConditionMeasuring the success of maintenanceThursdaysnapshot12AM Monday12AM MondayPlan&Schedule prior to w-1,snapshot,then measure against snapshotMondaySnapshotExecution WeekSchedulingWeek in ReviewSchedule LoadingSchedule ComplianceScheduled work%Schedule overrunPri
3、mary Call ComplianceSuccess generally measured on backwards looking metrics.Typically focused on the efficiency of labour and completion of scheduled work.Data driven predictive maintenanceSensor DataInspection DataAsset Model360o ViewCMMS HistoryManuals&GuidesTactics OptimisationWork Prioritisation
4、Predictive MaintenancePrescriptive ActionsOperating RoutinesUI/UXControlSystemRemove fixed interval maintenance,using regression models like AFT to predict RUL.Monitoring cyclic events for non-normal behavior,like in this auto-lube system.Data driven predictive maintenanceCapturing&trending inspecti
5、on data to predict future maintenance requirements.CMMS HistoryFuel burnOil samplesAlarm LogHealth Index,Remaining life or Risk scoreBuilding an asset health/risk score/RULInspection images/videoMaintenance recordsCondition monitoring historySensor DataOEM Recommendations15%30%20%30%5%Remaining Life
6、:1000 hoursProbability of Failure7:20%Asset Health Index:4Dynamic feature weighting.Can we truly be proactive using a rigid WM model?Thursdaysnapshot12AM Monday12AM MondayPlan&Schedule prior to w-1,snapshot,then measure against snapshotMondaySnapshotExecution WeekSchedulingWeek in ReviewSchedule Loa