M440 - Reliability and Maintainability Analysis for Repairable Systems


M440 provides an overview of the ways in which reliability engineering concepts and methods can be applied for repairable systems analysis and maintenance planning.

M440 presents concepts and software tools that you could use to help your organisation:
  • Understand the array of methodologies that can be applied for repairable systems analysis and determine the approaches that will be most effective for the data you have and the objectives you wish to achieve.
  • Identify critical components (or failure modes) and determine the most effective ways to improve system performance through design improvements and/or maintenance planning.
  • Evaluate potential maintenance strategies and calculate optimum PM intervals and/or overhaul times.
  • Use simulation to obtain estimated performance metrics that can facilitate decision-making in a variety of areas, such as scheduling planned maintenance, planning for spares, identifying bottlenecks in production throughput and estimating life cycle costs.
The Role of Reliability Engineering in Maintenance

Life Data Analysis

  • Statistical background
  • Commonly used product lifetime distributions and reliability metrics
  • Parameter estimation and confidence bounds
  • Reliability specifications
  • Competing failure modes
  • Comparing data sets
  • Degradation analysis
  • Event/maintenance logs analysis
Repairable Systems Analysis
  • Understanding the concept of a renewal process
  • Examining a common mistake in repairable systems analysis and two methods available for proper analysis:
    • Recurrent event data analysis (RDA)
    • Reliability block diagrams (RBDs)
Recurrent Event Data Analysis
  • Non-homogeneous Poisson process (NHPP)
  • Non-parametric recurrent event data analysis (using the Mean Cumulative Function, MCF)
  • General renewal process (GRP)
  • What RDA can and can’t do for you
Reliability Block Diagrams
  • RBD configurations and their analytic quantification: series, simple parallel, k-out-of-n, complex configurations, load sharing, standby redundancy and other specialized diagram constructs
  • Reliability importance
  • Using simulation for maintainability/availability analysis
  • Restoration factors
  • Determining when preventive maintenance (PM) makes sense and determining the optimum interval
  • Considering crews, spare parts and costs
  • Common metrics and new options for visualising and improving system availability
  • Introductions to throughput analysis and life cycle cost estimation
  • Introduction to reliability phase diagrams
  • Comparison of RDA vs. RBD
Introduction to reliability centered maintenance (RCM)


Duration: 5 days
CEUs: 3.5 CRP Credits: 5
Course Prerequisites
  • None
Assumes Basic Knowledge Of
  • Undergraduate Algebra
  • Elementary Calculus
  • Probability and Statistics
Recommended Prior Course(s)
  • G300

    (if needed for knowledge of probability and statistics)
Alternative/Similar Course(s)
Next Recommended Course
Software Used


M440 provides an overview of the ways in which reliability engineering concepts and methods can be applied for repairable system analysis and maintenance planning. ReliaSoft's Weibull++, RGA, BlockSim and RCM++ software are used for hands-on practical examples. Topics include life data analysis, recurrent event data analysis, reliability block diagrams and reliability centered maintenance.

Duration: 5 Days

Standard Registration Terms & Conditions for Events Organized by ReliaSoft Apply

Purchasing Information

  • If purchasing for more than one person, specify the number of people attending the course by altering the quantity of the course in the shopping cart. Our staff will contact you shortly after placing the order to confirm the details of each person as well as dietary requirements.
  • More details of the course will be provided separately well before the commencement of the course.
  • Please direct any further queries to training@relken.com.