Establish the condition
Connect the asset’s measurements, thresholds, operating state, and inspection history.
Bring live condition and operating context into maintenance planning. Prioritize the intervention using the evidence available for that asset.
AI-native CMMS and EAMConnect the asset’s measurements, thresholds, operating state, and inspection history.
Review the finding with maintenance scope, parts, timing, and equipment criticality.
Return completed work and follow-up measurements to the asset record.
Track supported telemetry, quality, operating state, thresholds, envelopes, and recent changes against asset context.
Translate evidence gaps and non-normal conditions into a defined inspection question, route, skill, and work scope.
Collect approved observations, photos, guided equipment sound, phone vibration screening, OCR context, and closeout evidence in TwinEdge Field.
Preserve the signal, review, approval, field finding, maintenance action, and after-work evidence for replay.
Condition-based maintenance schedules inspection or maintenance from current asset condition and operating evidence rather than relying only on elapsed time or usage.
Condition-based maintenance responds to observed condition or thresholds. Predictive maintenance additionally estimates future degradation or failure risk. TwinEdge can use both in one reviewed workflow.
Depending on the asset and deployment, TwinEdge can use industrial telemetry, alarms, operating state, vibration, temperature, pressure, flow, electrical values, model outputs, inspections, and field evidence. Exact signals and adapters are validated for the site.
No. It helps technicians and planners focus effort by showing what connected evidence can establish, what remains uncertain, and which physical check is appropriate.
Discuss your sources, assets, and the outcomes your team wants to improve.