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SigmovexEngineering Intelligence. Empowering Tomorrow

Energy assets, ten AI use cases.

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Wind asset health

01

Wind turbine asset intelligence

Developing drivetrain faults need operating context and targeted inspection.

Signals

  • Vibration and shaft speed
  • Bearing and gearbox heat
  • SCADA load and fault history

Analysis

Load-aware baseline · Correlated anomalies

Action

Engineer inspection

Earlier warning: prioritise developing faults with fewer unhelpful alerts.

Illustrative example Vibration and bearing temperature rise at comparable load. Review the affected turbine.

Asset intelligence

Enterprise workflows

  1. Signals
  2. Edge
  3. AI insights
  4. Engineer review
  5. Verified value

Built in to every use case

Governed, secure and deployable.

These use cases are in development. Examples shown are illustrative, and independent protection systems always stay separate from AI.

01

Evidence-to-repair workflow

Fault history, operating state, past repairs and the correct manuals brought together, so an engineer reviews a ranked repair plan instead of searching for it.

02

Functional safety support

Requirements linked to tests and revisions, with gaps flagged. Qualified engineers approve safety decisions; AI stays outside credited safety functions.

03

Cybersecurity for industrial AI

Read-only access to operational systems through an industrial DMZ, scoped identity, encryption and a full audit trail.

04

Cloud, on-premises or hybrid

Deployed to suit your architecture: central services, everything local, or local inference with selected insights shared centrally.

Pick one measurable workflow to start with