Predictive Maintenance System
Industrial IoT ยท Case Study
Industrial IoT
Implemented IoT sensors and ML models for predictive maintenance in manufacturing plants, reducing downtime by 40%.
The Challenge
Manufacturing lines suffered costly unplanned stoppages due to bearing and motor failures without early warning signals.
Our Solution
We deployed vibration and temperature sensor nodes, edge preprocessing, and cloud ML models with maintenance scheduling integration.
Key Results
- 40% reduction in unplanned downtime
- Vibration analytics on 200+ assets
- Integration with existing CMMS workflows
- ROI achieved within 9 months
Technologies
IIoT sensors Edge ML Modbus Grafana TensorFlow
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