Digital & Technology

Predictive Maintenance with AI

This course helps rubber manufacturers use AI for Predictive Maintenance to cut downtime and extend equipment life.

English
~ 2 days
HRD Corp Claimable

Course Overview

Predictive Maintenance (PdM) enables rubber manufacturers to reduce downtime and extend equipment life using AI and real-time data. This course guides plant and operations teams to identify PdM opportunities, apply relevant models, and build a scalable, ROI-focused maintenance strategy.





 

Learning Outcomes

  • Understand predictive vs preventive vs reactive maintenance models.
  • Identify sensor data for PdM (e.g. vibration. temperature, current).
  • Apply AI/ML to predict machine failure and downtime.
  • Build dashboards and alerts for early warning signals.
  • Plan and justify a PdM pilot integrated with existing systems.





     

Course Outline

Maintenance Strategy & Equipment Failure

Explore PdM concepts, compare approaches and analyse failure points in rubber machinery.

Data Collection & Sensor Integration

Identify key data inputs, retrofit legacy machines and understand data readiness for AI.

AI Models & Dashboards

Apply ML techniques to predict failure, visualise risks using Power BI / Grafana.

Pilot Planning & System Integration

Build PdM business case, connect to CMMS/ERP and plan pilot deployment with ROI tracking.

Frequently Asked Questions (FAQ)

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