An Introduction to Reliability Engineering
What you'll learn
- What is Reliability and How is it Measured
- Why Things Fail
- The Fundamentals of Strength-Stress Analysis
- The Basics of the Normal and Exponential Distributions
- Z-Score and how it's used in Strength-Stress Analysis
- Introductions to Life Testing, Accelerated Life Testing (ALT), Highly Accelerated Life Testing (HALT), and Highly Accelerated Stress Screening (HASS)
- The "Bathtub" or Weibull Curve
- Reliability Block Diagrams
- Redundancy, Preventive/Predictive Maintenance, and Derating and Methods for Improving Reliability
- How Reliability Engineering is a key component in the product design and manufacturing processes
- And much more!!
- Basic math and Excel skill are helpful
- An understanding of manufacturing is also helpful
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!!
Here’s what some of former students said about this course:
"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.
Plus over 850 5-Star reviews!
Who this course is for:
- Mechanical engineers
- Manufacturing engineers
- Industrial engineers
- Quality engineers
- Quality technicians
- Design engineer
- Reliability engineers
Ray Harkins is a senior manufacturing professional with 30 years experience in manufacturing engineering, quality management, and business analysis. During his career, he has toured hundreds of manufacturing facilities and worked with leading industry professionals throughout North America and Japan.
He earned his Bachelor of Science from the University of Akron where he majored in Engineering Technology, his Master of Science from Rochester Institute of Technology where he majored in Manufacturing Leadership and Project Management, and his Master of Business Administration from Youngstown State University.
He is a senior member of the American Society of Quality, and holds their Quality Engineering (CQE), Quality Technician (CQT), Quality Auditing (CQA) and Calibration Technician (CCT) certifications.
Ray has written extensively for national trade publications on the topics of quality engineering and career management, and has taught over 40,000 students through the Udemy platform on a range of manufacturing-related topics.