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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.
$700
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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
Lognormal Distribution Example
Probability of Lot Acceptance
Reliability Graphing Paper
Standard Normal CDF Table
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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.
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
Reliability Distributions
Reliability Distribution Examples
Outlier Screening
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