Predictive maintenance — Textile
Vibration, current and thermal models that predict failures days ahead. Delivered for a textile client in Kutch.
- Location
- Kutch
- Year
- 2020
- Duration
- 33 weeks
- Team
- 7 engineers
- 44%
- fewer breakdowns
- 13.3
- days warning
- −29%
- maintenance cost
The challenge
Leadership wanted measurable results inside one quarter, with no disruption to running operations.
What we built
A phased rollout: a measured pilot first, then scale-out. The core runs on scikit-learn with XGBoost, integrated into existing systems through MQTT.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Runs on-premises; no data leaves the site unless agreed
- Safety case reviewed with the client's EHS team
- Documentation, drawings and source handed over at close
- Remote monitoring and over-the-air updates included
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