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Courses - Spring 2024
Reliability Engineering Department Site
Open Seats as of
07/17/2024 at 10:30 PM
Collection and Analysis of Reliability Data
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENRE602.
Reliability data collection and analysis is of high (practical) importance in many essential engineering tasks including but not limited to: design alternatives evaluation, failure root cause analysis, early detection of field reliability problems, warranty reserve allocation, and others. The course teaches nonparametric and parametric statistical procedures of reliability data analysis for both non-repairable and repairable systems. It covers test data analysis (including accelerated and degradation testing), field data analysis (including warranty data and connected fleets data). Machine learning methods in reliability data analysis are discussed as well, along with special topics on condition-based maintenance and prognostics.