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Predictive maintenance for industrial assets

Centralized sensor pipelines, added anomaly scoring, and deployed response playbooks for operations teams.

Industrial - 12 weeks

Executive summary

Centralized sensor pipelines, added anomaly scoring, and deployed response playbooks for operations teams.

Problem

Plants operated with fragmented telemetry, making failures hard to predict and prioritize.

Solution

Centralized sensor pipelines, added anomaly scoring, and deployed response playbooks for operations teams.

Stack

ReactKafkaTimescaleDBGrafana

Delivery model

  • 1. Discovery and baseline alignment with business stakeholders.
  • 2. Short delivery cycles with measurable milestones.
  • 3. QA, security validation, and documented handover.

Screenshots

Predictive maintenance for industrial assets screenshot 1

Executive view with KPI and operational health.

Predictive maintenance for industrial assets screenshot 2

Operating flow with controls and alerts.

Predictive maintenance for industrial assets screenshot 3

Decision dashboard with impact traceability.

Note: The data shown is fictitious and the product appearance has been slightly modified to respect privacy and client agreements.

Next step

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