Predictive maintenance buyer’s map: data, sensors and services

Prediction is useful only when sensor evidence, diagnostic context, maintenance authority and post-repair verification connect in the real operating workflow.

Start with data and operating constraints

A plant with mature historian data and an internal reliability team may approach procurement differently from a site without continuous vibration monitoring. It is a mistake to treat one category of solution as the default for every asset. Begin with fault mechanisms, asset criticality and the current monitoring envelope.

Understand the five public positions

Siemens positions Senseye around scalable predictive analytics; SKF publishes condition-monitoring capabilities; I-care combines Wi-care and I-see; Augury emphasizes AI-driven Machine Health with expert validation; Tractian describes continuous monitoring linked to maintenance workflow. These summaries describe published positioning, not test results or comparative accuracy.

Compare the complete service boundary

Request an explicit list of sensors, networking, cloud/storage, setup, diagnostics, expert time, CMMS integration, training and ongoing operational duties. Define who validates a high-consequence alarm and how a rejected or ambiguous prediction is handled.

Ask for a prospective proof, not a brochure number

Before signing, agree a pilot protocol, baseline faults, acceptance criteria, false-alarm handling, data ownership, cybersecurity and maintenance response process. Vendor case studies may help frame questions but are not interchangeable with evidence from your own equipment.

Select for the operating decision

An attractive dashboard is insufficient if the team cannot decide what work to execute and then verify the outcome. Demand traceable movement from monitoring observation to human decision, actual work and post-action assessment. This guide does not rank or endorse suppliers.

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Primary sources and limitations

These links support the public product or research context. They do not substantiate comparative performance conclusions. Source content may change; verify directly with the supplier.