An Introduction to Reliability Engineering Udemy Free Download

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Reliability is often referred to as "quality over time". And this idea of reliability that was birthed in the early days of electronics and aviation, now extends into every sector of consumer and industrial products. Automobiles, airplane, televisions and computers have all found their way into the hands of everyday consumers because of the advancement in reliability engineering.

In "An Introduction to Reliability Engineering", we present an overview of the major concepts in the field of study including:

- The single reason of why things fail

- Strength / load analysis

- Statistical analysis using the Normal and Exponential distributions

- Accelerated Life Testing (ALT)

- Reliability block diagrams

- Assessing the reliability of systems

- Reliability improvement

- Highly Accelerated Life Testing (HALT) and Highly Accelerated Stress Screening (HASS)

- Preventive and predictive maintenance

- And MUCH MORE!!!

This class is designed for the quality, manufacturing or engineering professional looking to expand their skill set into this important field of study. "An Introduction to Reliability Engineering" will give you a foundational understanding of these key ideas and prepare you for more advanced training.

While an advanced understanding of statistics is required to become a reliability engineer, only a basic understanding of manufacturing, mathematics and Microsoft Excel is required to get started in this class.

Sign up today to begin your journey into the field of reliability engineering!!


"This course was absolutely fantastic. The instructor is very engaging and knowledgeable of the topic ... I had such a great time taking this course that I plan on enrolling in more of Ray Harkins's classes. The video included in the "Bonus Section" has pointed me towards many great suggestions for that next class. Thank you very much Ray, and God bless!" - Gary E.


"Lots of important, interesting and fundamental information. Really enjoying it and learning lots." - Matthew O.

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