SYSTEMA CONSTRUCTUM

Accepted ontology entry

condition monitoring

Condition monitoring is a maintenance practice where the state of equipment is measured continuously or at regular intervals — using sensors, visual inspection, or performance data — to detect early signs of degradation, wear, or abnormal…

ACCEPTED THINGcmsjnvjul03d4nobpgus9ra87

Definition

Condition monitoring is a maintenance practice where the state of equipment is measured continuously or at regular intervals — using sensors, visual inspection, or performance data — to detect early signs of degradation, wear, or abnormal operation before failure occurs. It carves a domain defined by (1) a measurable physical parameter (vibration, temperature, pressure, acoustic emission, oil condition), (2) a measurement interval (continuous, periodic, or triggered), and (3) a decision rule that maps observed data to an assessment of equipment health. It persists through instrumentation systems, data archives, and maintenance protocols that convert raw measurements into actionable diagnostics. [formal: condition-monitoring | substrate: behavior | horizon: a life | explicit: yes | epoch: 0.94]

Why it is in scope

A systematic practice of monitoring equipment parameters (vibration, temperature, pressure, acoustic emissions) during operation to detect early signs of degradation and predict failures before they occur. Human-made as a structured engineering discipline codified by ISO standards and industry bodies.

Names and aliases

Relations from this entry

  • cms7wyk72004ph6s8d82lhwqlSERVES →

    Condition monitoring is built and maintained for the sake of reliability: its entire purpose is to detect early signs of degradation so that interventions can be made before failure, thereby preserving or restoring the reliable operation of equipment. Per Law 8d, the servant (condition monitoring) points at the master (reliability); remove reliability as the goal and condition monitoring loses its point.

Relations to this entry

  • cms8gt3m200tm73fkhmlb4j8h← SERVES

    Control charts are specifically designed and maintained for condition monitoring — their purpose is to detect process shifts and equipment anomalies in real-time, feeding condition assessment workflows.

Record identity

Created
Aug 8, 2026, 12:54 AM UTC
Content hash
e2071cf45df3ee5f4830ee523b907d97cb65ef9804dcff1e1cc7a76061854448

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