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17.8 Key Terms

Key Terms

  • Condition-Based Maintenance (CBM) is a specialized form of predictive maintenance that triggers maintenance actions only when specific measured conditions (e.g., temperature, vibration, pressure) exceed predefined thresholds.
  • Failure rate Percentage (%) expresses the proportion of failed units relative to the total number tested, typically over a defined time period.
  • Failure Rate represents the rate at which a product or system fails over time.
  • Maintenance encompasses all activities aimed at keeping equipment and systems in working order.
  • Mean time between failure (MTBF) applies to repairable systems and measures the average time between successive failures, including the time taken for fault diagnosis and repair.
  • Mean time to failure (MTTF) is used for non-repairable items to represent the average time until failure.
  • Predictive maintenance uses real-time monitoring, data analytics, and diagnostic tools to predict when equipment is likely to fail.
  • Preventive maintenance involves performing scheduled inspections, servicing, and part replacements at predetermined intervals—either time-based (e.g., monthly) or usage-based (e.g., after 1,000 operating hours).
  • Reactive maintenance involves taking corrective action only after an equipment failure or a defect has been detected.
  • Redundancy refers to the inclusion of additional or backup components in a system to enhance its overall reliability.
  • Reliability is a measure of how consistently a system, product, or service performs its intended function without failure over a specified time period.
  • Reliability-Centred Maintenance (RCM) is a comprehensive strategy that integrates multiple maintenance approaches to optimize asset performance based on criticality, failure modes, and operational context.
  • Reliability metrics help evaluate performance, identify areas for improvement, and guide design and maintenance decisions.
  • Risk-Based Maintenance (RBM) prioritizes maintenance activities based on the risk associated with asset failure, considering both the likelihood and consequences of failure.
  • System typically comprises multiple subsystems, each made up of individual components.
  • System reliability refers to the likelihood that an entire system will function without failure over a specified period.

 

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