Predictive Maintenance AI — Reducing Downtime
AI-driven maintenance for industrial equipment
Challenge
Unexpected equipment failures leading to costly production downtime
Solution
Developed an AI-powered predictive maintenance system using sensor data and machine learning
Results
- 85% accuracy in failure prediction
- 40% reduction in maintenance costs
- 60% decrease in unplanned downtime
Technologies
PythonTensorFlowAzure MLIoT Sensors
Built an ML pipeline that ingests sensor data and predicts equipment failures before they occur.
Challenge
Unexpected failures caused costly production stoppages.
Solution
Developed models using time-series data and integrated alerts with maintenance workflows.