|
Course Overview
This course teaches participants the fundamental concepts
and methods needed to analyze and understand reliability
data. The course focuses on the proper application of
statistical methods to model failure data, estimate
quantities of interest for both components and systems,
and make predictions. Knowledge of basic algebra is
helpful. Computer software is utilized, although an
understanding of underlying concepts and methods is
stressed.
Seminar Content
Reliability Concepts and Reliability Data
· Reliability in Product and Process Development
· Unique Characteristics of Reliability Data
· Censored Data
Probability and Statistics Concepts
· Basic Probability Concepts
· Probability Distributions (e.g. Weibull, Lognormal,
etc.)
· Probability Distribution Functions
· Cumulative Distribution Functions
· Hazard Rate
· Mean Time to Failure
· Percentiles
· Conditional Reliability
Reliability of Systems
· Series Systems
· Parallel Systems
· Complex Systems
Assessing & Selecting Parametric Models for Failure
Time Distributions
· Probability Plotting with and without Censored Data
· Parameter Estimation From Probability Plots
· Using Software to Identify the Best Distribution
Parametric Estimation of Reliability Characteristics
· Estimation Methods (Maximum Likelihood, Rank
Regression)
· Precision of Estimates/Confidence Intervals
· Using Software for Reliability Estimation
Nonparametric Estimation of Reliability Characteristics
· Estimation with Exact Failures
· Estimation with Censored Data (Kaplan-Meier estimator)
· Using Software for Nonparametric Estimation
Introduction to Reliability Test Planning
· Test planning regimes
· Using Software for Reliability Estimation Test Plans
· Reliability Demonstration Test Plans
|
