Online Graduate Certificate in Reliability and Maintainability Electrical Engineering
Reliability and Maintainability Engineering
Program Overview
The Online Graduate Certificate in Reliability and Maintainability Electrical Engineering is a 12-credit, fully online program designed for working electrical engineers, technical professionals, and graduate students. Graduates are equipped to design, analyze, and manage reliable electrical, electronic, and power systems. Additionally, upon completing this reliability engineering certificate online, graduates will be able to:
- Apply reliability engineering principles to power electronics, communication systems, control systems, and embedded electronic devices.
- Develop data-driven methods for condition monitoring, fault diagnosis, predictive maintenance, and asset health management.
- Improve the resilience, safety, and lifecycle performance of electrical infrastructure and intelligent energy systems.
- Support engineering decision making through reliability analysis, risk assessment, and lifecycle cost optimization.
Why Earn This Certificate?
Reliability and maintainability electrical engineering expertise is growing in demand across industries, including manufacturing and utilities. With this certificate, you’ll be able to fill that need by gaining the skills to improve the safety, resilience, efficiency, and long-term performance of complex electrical infrastructures and emerging energy technologies. You’ll learn at the intersection of electrical engineering and reliability and maintainability engineering principles, including:
- Reliability Analysis
- Condition Monitoring
- Predictive Maintenance
- Fault Diagnosis
- Lifecycle Management of Electrical and Electronic Systems
Who This Certificate is For
This program is well-suited for working electrical engineers, design engineers, instrumentation engineers, and maintenance professionals seeking formal credentials without pausing their careers. It is also open to graduate students looking to specialize within an engineering degree path.
By earning this certificate, you open new and advanced career paths such as:
- Asset Performance Engineer
- Drive Reliability Engineer
- Reliability Risk Analyst
- Substation/Protection & Controls Engineer
- Utilities and Grid Operator
Admission Requirements
- Applicants must meet the minimum criteria established by the UT Knoxville Graduate Council.
- The program accepts students for Fall, Spring, and Summer terms, offering multiple entry points throughout the year to fit the schedules of working professionals.
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Featured Courses
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.
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.
Qualitative and quantitative techniques for assessing and improving process systems reliability and safety. Probabilistic risk assessment, event tree analysis, fault tree analysis, statistical inference, and associated dependent failure analysis. This is the graduate version of NE 485 and requires additional assignments and expectations for graduate students.
Course is divided into two major components. First half of the course will focus on introducing the students to the concepts of reliability and maintainability and the impact of lean on the reliability of complex systems. The concepts of reliability engineering are utilized to address lean system failures, including equipment failures, human failures, material failures and scheduling failures. Will develop the ability to design systems that are both lean and reliable. The second half of the course will introduce students to specific case studies of systems failures and ask student to develop solutions by considering different dimensions including financial, technical feasibility, risk, safety, security and others. Multi criteria decision making methodologies will be presented to allow students to make decisions when different criteria lead to conflicting solutions.
