M440 - Reliability and Maintainability Analysis for Repairable Systems

Overview

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)

Summary


 
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
 
COMPUTERS ARE USED IN THIS COURSE SO PLEASE MAKE SURE TO BRING YOUR LAPTOP. WE WILL INSTALL THE APPROPRIATE SOFTWARE AS NEEDED.

Standard Registration Terms & Conditions for Events Organized by ReliaSoft Apply

Purchasing Information

  • Please click here to enrol in the course. This link will redirect you to the Reliasoft website.
  • Please direct any further queries to training@relken.com