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Predictive Maintenance Buying Guide: Data, Alerts and Actions

Choose predictive maintenance around observable failure modes, contextual data and maintenance feedback.

Version 1.0Release 2026-10-04Last reviewed 2026-10-04HTML
Technician inspecting solar equipment with a thermal camera

Choose predictive maintenance around observable failure modes, contextual data and maintenance feedback.

Start with observable failure modes

List critical assets and failure modes with maintenance teams. Check whether available temperature, electrical, vibration or state measurements can reveal each mode. More historical rows cannot compensate for missing relevant measurements.

Evaluate context and feedback

Join telemetry with load, ambient conditions, equipment states and maintenance history. Review alert lead time, false alerts and missed events for the agreed use case. Feed inspection findings back into evaluation and AI-supported improvement.

Require an actionable output

The demonstration should identify the asset, probable issue, supporting observations, recommended inspection and follow-up owner. Agree a pilot scope and evaluation method before extending it to every site.

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