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Glossary
Maintenance

Predictive Maintenance

A maintenance strategy that uses condition monitoring data and analytics to predict equipment failures and schedule maintenance at the optimal time.

What Is Predictive Maintenance?

Predictive maintenance (PdM) uses real-time condition monitoring data -- vibration trends, temperature patterns, oil analysis results -- to predict when a bearing or component will fail, allowing maintenance to be scheduled at the optimal time: late enough to maximize equipment life, early enough to prevent unplanned downtime.

Return on Investment

Industry studies show PdM reduces maintenance costs by 25-30%, eliminates 70-75% of breakdowns, and improves OEE by 10-20%. Our case studies in Oil & Gas and Cement manufacturing demonstrate real-world PdM results.

Frequently Asked Questions

What is the difference between predictive and preventive maintenance?

Preventive maintenance (PM) is time-based: replace or service at fixed intervals regardless of condition. Predictive maintenance (PdM) is condition-based: monitor equipment health and service only when degradation is detected. PdM reduces unnecessary maintenance by 30-50% while catching failures that time-based schedules miss.

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