REAM – Reliability Engineering Applied to Maintenance

In this course you will learn the concepts of reliability that will allow you to determine the failure mode of your equipment, starting from the analysis of how these faults are generalized. This will allow you to choose, from the financial perspective, between preventive, corrective or predictive maintenance, obtaining the best impact in the operation of your machine.

You will practice and apply real cases of the fundamental concepts (histograms, weibull analysis and others) to identify adequate strategies of preventive replacement of machinery, within the philosophy of maintenance that best applies.

REAM Course Goals:

  • Provide maintenance management with the necessary tools to make important decisions related to the maintenance and operation of their equipment.
  • Understand the basics of reliability-based maintenance to determine how your equipment fails and analyze machine failure data to identify which maintenance approach (corrective, preventive, predictive) is the most appropriate, economically speaking.
  • Practice and apply various analyzes with real cases to determine the maintenance philosophies applicable to your machinery and concepts on preventive replacement.
    To learn practical methods to determine the frequencies of machinery necessary for the predictive program to be successful also in economic terms.

Who Should Take The REAM Course?

  • Maintenance managers, maintenance engineers, reliability engineers, predictive maintenance technicians, reliability-based maintenance practices and maintenance planners.
  • Professionals interested in achieving the financial goals of your organization by improving the performance of plant assets and reducing maintenance costs of the same by implementing appropriate maintenance policies and plans should attend this course.

Program Curriculum:

  1. Introduction to maintenance centered on reliability.
    2. Basics of maintenance engineering and reliability.
    3. Machine life cycle.
    4. Fundamentals of fault statistics analysis.
    5. Introduction to weibull distribution.
    6. How to analyze fault data using weibull distrubision.
    7. Analysis of Weibull part II (Special Cases).
    8. Weibull analysis using software
    9. Defining the maintenance strategy based on Weibull analysis.
    10. Preventive replacement theory.
    11. Condition monitoring.
    12. Determining the optimal frequency of predictive maintenance tasks.
    13. Benefits of condition-based maintenance.
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