Your Reliability Engineering Professional Development Site
Let us address your reliability engineering questions. Gain the experience of your peers and accelerate the improvement of your program and career.
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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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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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Greg and Fred discuss how and when to escalate problems and risks.
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Kirk and Fred discuss the challenge of using simple models for one finite element to extrapolate damage scalar metrics to very complex systems.
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Carl and Fred discuss our top advice for those starting a role as a reliability engineer for the first time.
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Carl and Fred discuss the use of AI with FMEA, what works and what does not work.
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Dianna and Fred discuss what do Reliability Engineers do?
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Dianna and Fred discuss a common reliability engineering dilemma: do we have enough data? Is data nirvana achievable?
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Greg and Fred discuss ways to detect and monitor changes in a system. So, what is the trigger to indicate an event, threat, or anomaly that can result in a risk. This becomes critical if you want to focus on the critical few NOT the insignificant many.
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Enrico and Fred discuss various approaches to allocation.
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Chris and Fred discuss how we assess product feasibility … at the concept stage! Great topic.
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Chris and Fred discuss what equations (if any) exist for setting and optimizing reliability goals … sometimes trading off against other goals. Wo …
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Chris and Fred discuss customer requirements when it comes to reliability. How do we get this wrong?
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