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Nov 12, 2024
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ISE 4355 - Introduction to Reliability Engineering
Introduces students to fundamental reliability theory and applications. Reliability models, system reliability, reliability testing, and reliability data analysis are covered.
Requisites: ISE 3210
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Analyze lifetime data using maximum likelihood estimation.
- Compute mean-time-to-failure, median-time-to-failure, variance, and design life.
- Derive system reliability.
- Estimate reliability using empirical methods.
- Explain basic reliability models: exponential, Weibull, normal, and lognormal.
- Explain hazard rate function, reliability function, probability density function, and cumulative distribution function.
- Explain properties of reliability data and different censoring mechanisms.
- Use software packages to perform reliability data analysis.
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