
Failure Mechanism Awareness
Abstract
Kirk and Fred discuss the many different failure mechanisms and the need for understanding the failure mechanisms and causes of failures.
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Kirk and Fred discuss the many different failure mechanisms and the need for understanding the failure mechanisms and causes of failures.
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by Carl S. Carlson Leave a Comment
Carl and Fred discuss a subject that some people find difficult. How to plan for reliability.
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by Carl S. Carlson Leave a Comment
Carl and Fred discuss the wide range of soft skills that reliability engineers need to learn, in order to be fully successful in their jobs.
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Kirk and Fred discuss using HALT for a product that has been in the field and has many documented reliability issues from the initial warranty returns
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by Carl S. Carlson Leave a Comment
Carl and Dianna discuss the topic of interfaces, in reliability engineering and FMEA.
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by Dianna Deeney Leave a Comment
Dianna and Carl discuss team creativity techniques, especially relating to FMEA.
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by Christopher Jackson Leave a Comment
Chris and Carl discuss a listener question on FMEA RPN and connection to reliability requirements.
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by Carl S. Carlson Leave a Comment
Carl and Chris discuss the broad subject of reliability allocation. What is it, when is it used, and what are the primary pitfalls to success?
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by Carl S. Carlson Leave a Comment
Carl and Dianna discuss two of the least understood and potentially powerful FMEA data elements: Special Product Characteristics for Design FMEAs, and Special Process Characteristics for Process FMEAs.
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Dianna and Carl discuss the relationship between Hazard Analysis (HA) and Failure Mode and Effects Analysis (FMEA).
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by Christopher Jackson 2 Comments
Chris and Carl discuss FMEA worksheets (we know … boring) … but can be incredibly helpful and useful. So what are they and how do they help us?
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Carl and Chris discuss the changing opportunities and challenges with AI and reliability engineering. What are the positive interactions, and where should we be concerned?
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by Greg Hutchins Leave a Comment
Greg and Dianna discuss how quality and reliability engineers can become AI boomers NOT doomers. Engineers are being challenged with AI. What can and should we do to survive and even prosper in the age AI disruption.
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Dianna and Greg discuss your employability in the AI age. So, let’s run a hypothetical. You’re a 22 year old mechanical engineer. You do robotic quality and reliability with a knowledge half-life of 4 years. That means by the time you’re 26 knowledge in your domain has doubled. Let’s say, you’re now 30. Knowledge in your domain has quadruped. Problem: you have not updated your knowledge skills and abilities. Are you still employable.
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