Length: 3 Days

When: March 27, 2023, 9:00 am - March 29, 2023, 4:00 pm
Where:

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Reliability Analysis for Non-Repairable Systems Training

Reliability Analysis for Non-Repairable Systems Training is a 3-day training designed for those who want a comprehensive training in the theory and practice of Reliability Analysis for Non-Repairable Systems. This 3-day course is designed for program managers, systems analysts, system engineers, procurement, reliability engineers and professional working in the area of system acquisition, operations, maintenance and sustainability.

It is important to understand the type of system being analyzed or designed and use the appropriate reliability methods and tools to match the system needs.

Participants will learn about analysis of non-repairable systems compared to repairable systems. Along with reliability analysis, availability, maintainability, and serviceability, modeling methods of non-repairable systems will be discussed.

Audience

Engineers, analysts, and managers who want to get familiarization with reliability analysis and statistics tools, methods and techniques applied to non-repairable Systems.

Learning Objectives

Upon completion of this course, the participants can:

  • Learn the basic concepts in reliability analysis and engineering
  • Learn about reliability analysis tools and methodologies.
  • Perform reliability assessment to reduce logistic burden of systems throughout life cycle.
  • Organize reliability data collected in the field.
  • Analyze non-repairable component reliability and evaluate Non-repairable system reliability.
  • Find optimal solutions to improve non-repairable Systems reliability.
  • Learn about tools for reliability analysis for non-repairable systems
  • Compute non-parametric estimates of failure probability.
  • Estimate reliability or survival measures and hazard.
  • Design an accelerated life test.

Course Agenda

Reliability of Repairable Systems vs. Non-Repairable Systems

  • Basics of reliability
  • Reliability engineering 101
  • Reliability modeling
  • Repairable systems or products
  • Reliability tasks
  • Common metrics
  • Non-repairable systems or products
  • Non-repairable and components parts
  • Availability vs. reliability
  • High reliability or availability considerations for non-repairable systems

Common Metrics used in Measuring System Types  

  • Mean Time Between Failure (MTBF)
  • Failure in Time (FIT)
  • Time to Failure
  • Mean Time to Repair (MTTR)
  • Mean Time to Failure (MTTF)
  • Failure in Time (FIT)
  • MTTF Time to First Failure
  • Hazard Rate
  • MTBF Time to First Failure
  • ROCOF/Failure Rate
  • Rate of occurrence of failures (ROCOF)
  • Probability analysis
  • Maintainability for repairable systems

Reliability Parameters for Non-repairable Systems

  • MTTF vs. MTBF
  • MTTF Time to First Failure
  • Hazard Rate
  • Reliability
  • Discarded (recycled?) upon failure
  • Lifetime and random variable described by single time to failure
  • Group of components lifetime and time to failure
  • Failure rate and hazard rate of a lifetime distribution
  • Non-parametric estimates of failure probability

Analyzing Reliability Analysis Methods

  • Approach for evaluating four critical factors related to system performance
  • Identify areas of concern to facilitate improvements
  • Tools and techniques to assess and evaluate non-repairable system reliability throughout the lifecycle
  • Reliability tools, techniques, models and frameworks for components and systems
  • Component part databases
  • MIL-HDBK-217
  • MIL-STD-1629
  • Weibull analysis
  • Life Data Analysis
  • Reliability Prediction
  • FRACAS
  • ALT Analysis
  • Reliability Block Diagram
  • reliability prediction
  • Reliability prediction standards for non-repairable systems and components
  • Mean Cumulative Function (MCF)
  • Event Series (Point Processes)
  • NHPP (Parametric method) – complex
  • HPP (For random, constant average rate events)
  • Mean Cumulative Function (MCF)

Assessing Reliability Analysis for Non-repairable systems

  • Reliability benchmarking & gap analysis
  • Reliability and system lifecycle phases
  • Root cause failure analysis
  • Reliability data collection
  • Reliability predictions
  • Reliability block diagrams
  • Fault tree analysis
  • Failure modes & effects analysis
  • Thermal analysis
  • Derating analysis and component selection
  • Tolerance and worst case analysis
  • Material selection
  • Design of experiments
  • Finite element analysis
  • Dynamic analysis (modal, shock, vibration, immersion, water, etc.)
  • Design review and retrospective facilitation
  • Reliability test plan development
  • Highly accelerated life testing (halt)
  • Fracture and fatigue
  • Design verification testing
  • Highly Accelerated Stress Screening (HASS)
  • Environmental testing and analysis
  • Thermal testing and analysis
  • Reliability demonstration testing
  • Closed-loop corrective action process setup
  • Lessons Learned Process Establishment

 

 

 

 

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