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Predictive Maintenance

Predictive Maintenance

Introduction

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Reduce Surprises, Not Just React

Current Reality:

Unplanned downtime is costly and disruptive. Most foundries follow fixed maintenance schedules or wait until something breaks. This approach wastes resources and still leaves you vulnerable to unexpected failures.

Direction & Our Approach:

Predictive maintenance is not an overnight transformation. It starts with better monitoring and evolves into prediction over time:

· Condition Monitoring First: Install vibration, temperature, and current sensors on critical equipment (robots, conveyors, pumps). Set thresholds for alerts.

· Trend Analysis: Over weeks and months, learn normal behavior patterns. When deviations occur, you can investigate before failure.

· Gradual Prediction: With enough data, simple models can forecast remaining useful life for specific components (bearings, belts, seals).

What We Offer Now:

· Sensor kits and installation for key equipment.

· Cloud-based or on-premise monitoring platform with alert rules.

· Consulting to prioritize which assets benefit most from condition monitoring.

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