Kirk and Fred dive into modern research methods, discussing tools like Google Scholar and AI like ChatGPT. They emphasize the importance of verifying information, as AI can sometimes generate inaccuracies. The conversation shifts to the challenges posed by NDAs, limiting the discussion of failure causes in reliability engineering. They highlight the value of consulting colleagues and industry experts for deeper insights, alongside the evolution from traditional research methods to today's digital resources. A fascinating blend of technology and expert dialogue awaits!
00:00
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
volunteer_activism ADVICE
Start Research with Online Tools
Use internet tools like Google Scholar and ChatGPT for initial technical research, but always verify the information carefully.
Start by learning the language and basics of the subject before diving deeper into technical papers or vendor discussions.
volunteer_activism ADVICE
Call Vendors for Insights
Call product vendors or customer service lines to learn more and ask specific questions to deepen your understanding.
Prepare your questions and genuinely seek advice for design, use, or troubleshooting help.
volunteer_activism ADVICE
Learn by Networking Experts
If possible, network and invite subject matter experts to share their knowledge; be respectful and ask insightful questions.
This direct knowledge exchange helps validate research and improve depth of understanding.
Get the Snipd Podcast app to discover more snips from this episode
Kirk and Fred discuss the new options for doing technical research, including Google Scholar and AI tools like ChatGPT
Key Points
Join Kirk and Fred as they discuss the validity and limitations of using the new tools for technical research.
Topics include:
ChatGPT sometimes creates fabricated information, but you can evaluate its relevance and accuracy by asking questions on a subject you already understand and see if you agree with the information it returns.
Besides the online tools for searching, it is good to discuss the information needed with a colleague or other expert about the questions you are researching, but first, seek some baseline understanding of the problem or subject.
NDAs (non-disclosure agreements) prevent reliability engineers from publishing or publicly discussing the real causes of failures, and therefore, have made research on failures and their root causes scarce. Much of the real exchange of the fundamental issues in reliability happens at conferences, when we discuss problems in the hallways with other reliability engineers.
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.
Please click on this link to access a relatively new analysis of traditional reliability prediction methods article from the US ARMY and CALCE titled “Reliability Prediction – Continued Reliance on a Misleading Approach”. It is in the public domain, so please distribute freely. Attempting to predict reliability is a misleading and costly approach to use for developing a reliable system.
Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance