Glossary
What is Predictive Maintenance?
Predictive maintenance (PdM) is maintenance triggered by the actual or predicted condition of an asset—using data, sensors or inspections—rather than a fixed schedule. The goal is to perform work only when needed, reducing both failures and unnecessary servicing.
What it means
Predictive maintenance uses condition monitoring, vibration analysis, thermography or other data to estimate when failure is likely. Work is then scheduled before the failure occurs.
Why it matters
- PdM relies on condition data, not just calendar or usage counts.
- It can reduce unnecessary PM and target only assets that need attention.
- Sensors and analytics are often required; implementation can be complex.
- PdM is sometimes combined with preventive maintenance in a CMMS.
Example in maintenance operations
Using vibration sensors to detect bearing wear and scheduling replacement before failure; analysing oil samples to trigger oil changes when contamination exceeds a threshold.
Related concepts
Frequently asked questions
What is the difference between predictive and preventive maintenance?
Preventive maintenance follows a schedule (time or usage). Predictive maintenance uses condition or trend data to decide when to act, often just before failure.
Do you need special software for predictive maintenance?
Condition monitoring and analytics may use dedicated tools. Many CMMS systems can receive alerts and create work orders from external sensors or integrations.
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