Reliability Education 2011 - 2012 Training Catalog - ReliaSoft

M440 provides an overview of the ways in which reliability engineering concepts and methodscan be applied for repairable systems analysis and maintenance planning. Some of the topicscovered include:The Role of Reliability Engineering in MaintenanceLife 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 analysisRepairable Systems Analysis• Understanding the concept of a renewal process• Examining a common mistake in repairable systems analysis and two methodsavailable 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 youReliability Block Diagrams• RBD configurations and their analytic quantification: series, simple parallel, k-out-of-n, complex configurations, loadsharing, 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 visualizing and improving system availability• Introductions to throughput analysis and life cycle cost estimation• Introduction to reliability phase diagrams• Comparison of RDA vs. RBDIntroduction to reliability centered maintenance (RCM)Applying What You Will LearnM440 presents concepts and software that you could use to help your organization:````````Reliability and Maintainability Analysis for Repairable SystemsDuration: 5 daysCEUs: 3.5 CRP Credits: 5Course Prerequisites``NoneAssumes Basic Knowledge Of``Undergraduate Algebra``Elementary Calculus``Probability and StatisticsRecommended Prior Course(s)``G300(if needed for knowledge ofprobability and statistics)Alternative/Similar Course(s)``G400Next Recommended Course``M560Software Used``Primary: Weibull++, BlockSim``Supplemental: RGA, RCM++Understand the array of methodologies that can be applied for repairable systems analysis and determine theapproaches 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 performancethrough 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 asscheduling planned maintenance, planning for spares, identifying bottlenecks in production throughput and estimatinglife cycle costs.8