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Mantenimiento

Condition-Based Maintenance (CBM)

Strategy that schedules maintenance interventions based on actual equipment condition measured by monitoring instruments: vibration, temperature, oil analysis, and ultrasound. More efficient than time-based preventive maintenance. Reduces maintenance costs 10-25% and unplanned downtime up to 75%. Requires sensors, data history and alarm thresholds. Also referred to as Condition-Directed Maintenance. Reference standard: ISO 17359.

What you need to know

  • Strategy that schedules maintenance interventions based on actual equipment condition measured by monitoring instruments: vibration, temperature, oil analysis, and ultrasound.
  • More efficient than time-based preventive maintenance.
  • Reduces maintenance costs 10-25% and unplanned downtime up to 75%.
  • Requires sensors, data history and alarm thresholds.
  • Also referred to as Condition-Directed Maintenance.

Full definition

Condition-Based Maintenance (CBM) is a proactive maintenance strategy that leverages real-time data from sensors and monitoring instruments to assess the health of equipment. Unlike traditional time-based preventive maintenance, which schedules maintenance at regular intervals regardless of the actual condition of the machinery, CBM focuses on the actual state of equipment. This approach relies on parameters such as vibration analysis, temperature readings, oil quality assessments, and ultrasound inspection, allowing for a more tailored maintenance schedule that can lead to significant savings in both time and resources. By only performing maintenance when necessary, CBM can reduce maintenance costs by 10-25% and minimize unplanned downtime by as much as 75%. This strategy not only enhances equipment reliability but also extends the overall lifespan of machinery by preventing unnecessary wear caused by premature maintenance interventions.

To implement CBM effectively, organizations must invest in the appropriate sensor technology and data analytics capabilities. This includes establishing alarm thresholds that trigger maintenance actions when certain parameters exceed predefined limits. For instance, a vibration sensor may be set to alert maintenance personnel if vibrations exceed a specific g-force, indicating potential bearing failure. Historical data analysis also plays a crucial role, as it helps in identifying trends and patterns in equipment performance over time, which can inform predictive maintenance strategies. Furthermore, the integration of CBM with other maintenance strategies, such as Reliability-Centered Maintenance (RCM), can further enhance the overall maintenance strategy by combining the strengths of both approaches.

Standards such as ISO 17359 provide guidelines for implementing condition monitoring and CBM, outlining best practices for setting up a monitoring program, interpreting data, and using it to inform maintenance decisions. By adhering to these standards, organizations can ensure that their CBM programs are effective and aligned with industry best practices, ultimately leading to improved operational efficiency and reduced costs.

What you need to know

  • What you need to know:
  • CBM reduces maintenance costs by 10-25% by focusing on actual equipment condition.
  • Unplanned downtime can be reduced by up to 75% with effective CBM strategies.
  • Key monitoring techniques include vibration analysis, temperature monitoring, and oil analysis.
  • ISO 17359 provides guidelines for implementing condition-based maintenance programs.
  • CBM requires appropriate sensor technology and alarm thresholds for effective monitoring.

Industrial applications

  • 1Manufacturing plants utilize CBM to monitor critical machinery and prevent unexpected failures.
  • 2In the energy sector, power generation facilities employ CBM to ensure turbine reliability and efficiency.
  • 3Oil and gas industries use CBM for rotating equipment to improve operational safety and reduce downtime.
  • 4Transportation companies apply CBM for fleet vehicles to optimize maintenance schedules based on vehicle performance data.

Common mistakes

  • Failing to establish accurate alarm thresholds, leading to either missed maintenance opportunities or unnecessary interventions.
  • Neglecting data analysis, which can result in ineffective maintenance decisions based on incomplete information.
  • Underestimating the importance of training personnel on CBM technologies and processes.
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Pro tip

Regularly review and update your alarm thresholds based on historical data to ensure optimal maintenance performance.

Technical standards

  • ISO 17359 - Standard for condition monitoring and diagnostics of machines.

Suppliers of industrial maintenance in Mexico

Applicable standards

ISO 17359.