Predictive maintenance — Steel
Vibration, current and thermal models that predict failures days ahead. Delivered for a steel client in Jaipur.
- Location
- Jaipur
- Year
- 2025
- Duration
- 26 weeks
- Team
- 10 engineers
- 32%
- fewer breakdowns
- 9.4
- days warning
- −31%
- maintenance cost
The challenge
Existing vendors had delivered pieces of a predictive maintenance system, but nobody owned the integration and the pilot had stalled.
What we built
Built in our Motera lab, validated on a replica rig, then commissioned on site in days using scikit-learn and InfluxDB.
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
- Remote monitoring and over-the-air updates included
- Runs on-premises; no data leaves the site unless agreed
- Operator training delivered in Gujarati, Hindi and English
- Designed, built and supported from Motera, Ahmedabad
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