Watch the signals that change before equipment fails.
Condition monitoring tracks equipment and process indicators that can reveal developing wear, overheating, pressure change, load shift, lubrication problems, and other conditions before they become production failures.
Use equipment condition, risk, and production priority to guide maintenance work.
Good maintenance strategy connects machine condition, failure history, planned work, critical spares, and production schedules instead of treating every asset the same.
Prevent avoidable downtime without over-maintaining equipment.
Maintenance effort should be proportional to asset criticality, failure behavior, detection capability, repair risk, spare-parts exposure, and the production consequences of failure.
CRIT-AEstablish a Baseline
Condition data is easier to interpret when normal values are known for comparable products, speeds, loads, and operating states.
Related Guide →CRIT-BTrend Change, Not Just Threshold
Slow drift can be meaningful even before a fixed alarm level is exceeded.
Related Guide →CRIT-CUse Multiple Signals
Temperature, pressure, force, vibration, current, and operator observations can strengthen a diagnosis when viewed together.
Related Guide →CRIT-DConnect Data to Action
Monitoring only creates value when abnormal conditions trigger inspection, planning, or corrective work.
Related Guide →Make condition and maintenance priority visible.
These diagrams show condition trend and the way maintenance time is divided between inspection, planned work, repair, and verification.
Condition trend.
Monitor change over time so maintenance can respond before the condition becomes a production failure.
Maintenance allocation.
Separate inspection, planned service, repair, and restart work to understand where maintenance time is being consumed.
Relevant maintenance and equipment resources.
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