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Apply Concepts

These feature articles provide reliability concept background information on how to implement specific reliability analyses and further instruction on the fundamentals of different reliability concepts and techniques.

 Feature Articles
Fault Tree Construction: Events and Gates
Part I: Commonly Used Events and Static Gates
 
Fault Tree Construction: Events and Gates
Part II: NOT Logic Gates
 
Fault Tree Construction: Events and Gates
Part III: Dynamic Gates
 
MTTF Versus MTBF
Theoretical Definitions and Alternative Uses for MTBF
 
Modeling with Lambda Tau Fault Trees
Test Interval, Repair, or Mission Times Can Be Used in Lambda Tau Calculations to Obtain Availability and Short-Term Reliability Results
 
Using Importance Measures in Fault Tree Analysis
How Importance Measures Can Help to Determine Which Event to Improve Next
 
Dashboards: Information at Your Fingertips
Learn How Dashboards Monitor System Performance and Improve Operating Conditions
 
Efficient Data Entry for MTBF Analysis
Methods for Making the System Definition Process Easier
 
Spares Optimization for Complex Repairable Systems
Learn More About Algorithms Related to Optimal Spares Design
 
Sharing Data Across the Enterprise
Familiarize Yourself with Current Data-Sharing Techniques
 
Reliability 101
Part I: Reliability Concepts and Terminology
 
Thermal Management and Reliability: Heat Sinks
Determining the Effects on a Reliability Prediction
 
Selecting the Right Tool to Model System Behavior
Which to Choose: RBDs, Fault Trees, or Markov Diagrams
 
Reliability Prediction Models: Use and Evaluation
Part I: Reliability Factors
 
Reliability Prediction Models: Use and Evaluation
Part II: Reliability Prediction Standards
 
Reliability Prediction Models: Use and Evaluation
Part III: Which Model To Choose
 
Using Reliability Growth Models to Detect Warranty Problems
Part I. Obtaining Reliability Metrics from Warranty Data
 
Using Reliability Growth Models to Detect Warranty Problems
Part II. Early Warning Techniques
 
Augmenting Predictive Analyses with Real Life Data
Using the PRISM Bayesian or Telcordia Method III Technique to Incorporate Field Data
 
Reliability Growth Analysis for Continual Product Improvement
FRACAS and Weibull Tools Employ Built-In Analytics For Evaluating Reliability Growth
 
Data Management Techniques
An introduction to SQL and the Handling of Large Data Volumes
 
Predicting the Reliability of Mechanical Components
Three Methods for Incorporating Failures Rates for Mechanical Components into System-Level Reliability Predictions
 
Analytical Methods Versus Simulation
The Difference Between Analytical Methods and Simulation When Calculating RBDs
 
Reliability Topics: Five Commonly Asked Questions
Read Responses to Hot Reliability Questions Fielded by Relex Customer Support!
 
Using Manufacturer Data in Reliability Predictions
Learn How to Assess the Type and Usability of Manufacturer-Supplied Reliability Data
 
Calculating Field MTBF Values
Using Real-Life Information to Predict System MTBF
 
Using the Weibull Distribution to Analyze Legacy Equipment
Learn How to Model Equipment with Accumulated Operational Time
 
A FMEA Primer
Learn How to Plan and Perform a FMEA
 
Modeling Complex, Multi-Phase Systems
Phase-Based Diagrams Combine Multiple Operational Phases with RBDs
 
Calculating Junction Temperature Variations
Different Temperature Calculation Methods Used in Predicting Component Reliability
 
Failure Frequency Versus Failure Rate
The Difference Between Failure Frequency And Failure Rate
 
Taking Dormant States into Account in Reliability Predictions
Review the Two Different Methods Devised by the Reliability Analysis Center (RAC)
 
Using Allocations to Set Reliability Goals
Learn How to Apportion Weight Factors to Achieve a Failure Rate Goal
 
Selecting Distributions that Best Fit Failure and Repair Times
Appropriate Distributions are Critical to Analyzing System Metrics Accurately
 
Using Telcordia Calculation Methods to Adjust Failure Rates
Improve the Accuracy of Your Reliability Predictions!
 
PRISM Process Grades Provide for Fine-Tuning Reliability Predictions
Tailor the System Assessment by Accounting for Process-Related Variability
 
PRISM Bayesian Analysis Provides for Better Predictions
Optimize Reliability Predictions Based on Valid Test and Field Data
 
Modeling Today's Complex Repairable Systems
Learn How to Take Your RBDs to the Next Level
 
Understanding Importance Measures in Fault Tree Analysis
Calculating Birnbaum, Criticality, and Fussell-Vesely Importance Measures
 
Calculating MTTF When You Have Zero Failures
Use Specified Confidence Level to Determine Bounds on MTTF
 
Fault Tree Gates Logically Link Basic Events to Top Events
Analyze Numerous Hardware Configurations Using Multiple Gate/Event Options
 
Markov Analysis, Part 1
Markov Analysis Accurately Models Dynamic Behaviors
 
Markov Analysis, Part 2
Creating State Transition Diagrams for Markov Analysis
 
Use Relex Weibull to Minimize Downtime or Overall System Cost
Optimize Replacement Strategies Based on Block of Time or Age Maintenance Policies