Reliability Statistics

One important aspect of reliability engineering is statistics. The reliability engineer should have a good grasp of statistics and distributions. All reliability-related failure mechanisms can be mapped to a particular distribution type. The most common distributions used in reliability studies are the exponential distribution, the normal distribution, the lognormal distribution, and the Weibull distribution.

Reliability is a discipline driven by data. In order to predict the reliability of a component, one must use test data to predict the response of the component or electronic system. This requires an in-depth understanding of statistics and distributions. This material covers basic statistics and distributions used for reliability calculations, how to handle situations where no failures occur, how to transform data from test structures to use conditions, and how to calculate system level reliability based on individual reliability numbers from components or failure mechanisms.

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Introduction

Presentations

Acceleration and Number of Failures

Plotting Data

Reliability Distribution Types

Basic Reliability Statistics

Quiz: Statistics and Distributions

Which Distribution Should I Use?

Quiz: Distribution Graphing Problems

Documents

Lognormal Distribution Example

Probability of Lot Acceptance

Reliability Graphing Paper

Standard Normal CDF Table

Videos

NONE

Additional Reliability Statistics Concepts

One important aspect of reliability engineering is statistics. The reliability engineer should have a good grasp of statistics and distributions. All reliability-related failure mechanisms can be mapped to a particular distribution type. The most common distributions used in reliability studies are the exponential distribution, the normal distribution, the lognormal distribution, and the Weibull distribution. Another important aspect of Reliability Statistics is placing a discrete number of samples onto a continuous distribution. Engineers use the Poisson distribution for this work, and we discuss this topic in this section. Another important aspect of Reliability Statistics is accounting for acceleration conditions. We describe that basic proces in this course as well.

Presentations

Reliability Statistics - Distributions

Reliability Statistics - Acceleration

Reliability Statistics - Sample Size

Outlier Screening

Censoring Maximum Likelihood Estimates and Design of Experiments

Calculating Chip and System Level Reliabilities

Documents

Reliability Distributions

Reliability Distribution Examples

Outlier Screening

Videos

NONE