Reliability and Maintainability Engineering Minor
Reliability and maintainability are crucial aspects of engineering because they directly impact the performance, safety, cost-effectiveness, and lifespan of products and systems, making them an essential foundation in any traditional engineering field. Pursuing a minor in this field sets students and professionals apart with specialized skills highly valued across many industries.
Program Overview
The Reliability and Maintainability Engineering (RME) program is a multidisciplinary program focusing on the use of management systems, analysis techniques and advanced condition-based and preventive technologies to identify, manage and eliminate failures leading to losses in system function. Once perceived as a practitioner or manufacturing issue, reliability and maintainability engineering is now considered a business issue of urgent priority. A coursework program leading to a minor in reliability and maintainability engineering is offered by the Tickle College of Engineering.
Why Get a Minor in Reliability and Maintainability Engineering?
With industry standards and compliance constantly evolving at a fast pace, it’s important for engineers to continue learning reliability and maintainability best practices to gain a professional edge and support movement into leadership and strategic roles. Obtaining a minor prepares professionals and scholars to address industry demand for reliability experts by becoming equipped as leaders in field.
Featured Courses
IE 483 Introduction to Reliability Engineering
Probabilistic failure models and parameter estimation (maximum likelihood, Bayes techniques). Model identification and comparison, accelerated life tests, failure prediction, system reliability, preventive maintenance, and warranties.
IE 484 Introduction to Maintainability Engineering
Principles of maintenance and reliability engineering and maintenance management. Topics include information extraction from machinery measurements, rotating machinery diagnostics, nondestructive testing, life prediction, failure models, lubrication oil analysis, establishing a predictive maintenance program, and computerized maintenance management systems.
ECE 313 Probability and Random Variables
Probability axioms, Bayes’ theorem. Discrete and continuous random variables. Probability mass functions, density functions, and joint distributions. Central limit theorem. Expectation, variance, covariance, and correlation.
CBE 360 Process Dynamics and Control
Introduction to process modeling and industrial control system design. Mathematical tools for characterizing dynamic behavior of processes. Theory and practice of operating and controlling such systems.
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