SE4321 Reliability Growth and Accelerated Testing

This course covers mathematical and statistical models used in advanced reliability engineering and the art of their application. Reliability growth models include the AMSSA- Crow, Duane, and Lloyd-Lipow models. Accelerated testing models include the Arrhenius, Eyring, and Inverse-power Law. Statistical and practical issues in model selection and parameter estimation are discussed. Particular emphasis is placed on design of test plans.

Prerequisite

OA4302

Lecture Hours

4

Lab Hours

1

Course Learning Outcomes

Upon successful completion of this course, students will be able to:

• Students will understand the major concepts within physics of failure, reliability testing, and reliability growth.

• Students will be able to apply the common models, methods, analyses, etc. within physics of failure, reliability testing, and reliability growth to an engineered system.

• Students will be able to correctly interpret the results of physics of failure, reliability testing, and reliability growth and apply them to the development and operation of an engineered system to improve system reliability.

• Students will be able to produce design recommendations based on analysis and testing results.