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AI Glossary

The complete dictionary of Artificial Intelligence

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Condition-Based Maintenance (CBM)

Maintenance strategy where actions are triggered based on the actual condition of the equipment, measured by sensors and performance indicators, rather than on a predefined schedule.

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Alert Threshold

Predetermined value of a measured parameter that, once reached or exceeded, triggers a notification or maintenance action to prevent a failure.

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Business Rule

Set of logical conditions, defined by domain experts, that guide automated maintenance decisions based on the interpretation of operational data.

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Condition Indicator (CI)

Specific quantitative or qualitative measurement, such as temperature or vibrations, used to assess the health status of an asset and predict its future degradation.

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Conditional Triggering

Activation of a maintenance intervention only when a set of predefined conditions, based on real-time data, are satisfied.

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Trend Analysis

Examination of the evolution of a condition indicator over time to identify degradation patterns and anticipate when a critical threshold will be reached.

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Tolerance Limit

Upper or lower boundary of an acceptable operating range for a given parameter, beyond which the risk of failure increases significantly.

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Condition Monitoring System (CMS)

Integrated set of sensors, hardware, and software designed to continuously collect, analyze, and display equipment condition data.

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Conditional Diagnosis

Process of identifying the root cause of a detected anomaly based on the analysis of condition data and associated business rules.

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Key Performance Parameter (KPP)

Specific and essential measurement that directly reflects the health status or critical performance of equipment in a condition-based maintenance context.

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Trigger Logic

Algorithm or set of rules (e.g., AND, OR, IF-THEN) that combines multiple condition indicators to make an automated decision to initiate maintenance.

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Maintenance Window

Planned time period during which a condition-based maintenance intervention can be performed with minimal impact on operations, once an anomaly is detected.

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Threshold Calibration

Process of adjusting and validating alert threshold values to ensure they are sensitive to actual failures while minimizing false alerts.

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Operating Profile

Set of typical operating conditions (load, speed, environment) of equipment, used to contextualize condition data and refine trigger rules.

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Failure Mapping

Systematic analysis that links specific failure modes to condition indicators and their respective thresholds to create a targeted alert system.

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Setpoint Value

Target or nominal value for an operational parameter, whose deviation can be an early indicator of degradation, used in condition-based approaches.

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Measurement Interval

Frequency at which sensor data is collected to assess equipment condition, a crucial parameter for the responsiveness of condition-based maintenance.

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