FMEA and AI

Abstract

Carl and Fred discuss Failure Mode and Effects Analysis and Artificial Intelligence. There are emerging integration opportunities and challenges, which will be discussed in this podcast.

Key Points

Join Carl and Fred as they discuss the opportunities and pitfalls to incorporating AI techniques with FMEA. Topics include:

Discussion of Automated FMEA versus team-based FMEA.
Use of ChatGPT with FMEA
Discussion of example of capacitor failures and the use of historical data, augmented by an understanding of new technology.
What is role of AI in supporting FMEA?
How do models integrate with FMEA?
What portion of FMEA can be prepared before team meetings?
Functions, some failure modes and other information can be prepared.
However, be cautious of pre-filling a form, as people don’t see what isn’t there.
FMEA preparation is input for consideration and should be team reviewed.
FMEA Cause usually needs subject matter expertise to get to root cause, especially for new technology, new applications and new environments.
A good role for AI interface is with thought-starter questions and things to consider.
FMEA is not done when form is filled out.
3 reasons for human team involvement: overcoming blind spots, exposing different backgrounds and experiences, and team synergy comes up with new viewpoints.
FMEA is organized brainstorm; it’s a thinking exercise.
FMEA is not done until risk is reduced to acceptable level. It is not fill-out-the-form activity.
Past FMEAs are not necessarily good FMEAs.
Use FMEA quality objectives to evaluate how good FMEA are.
Understand the limitations of AI, and be open to its uses in FMEA. Don’t be bashful to ask question.

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