Accendo Reliability https://fred-schenkelberg-project.prev01.rmkr.net Thu, 11 Apr 2024 20:29:07 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 © 2025 FMS Reliability Illuminated Reliability Engineering Knowledge Accendo Reliability Illuminated Reliability Engineering Knowledge Accendo Reliability fms@fmsreliability.com No SOR 959 Knotty Detection https://fred-schenkelberg-project.prev01.rmkr.net/podcast/sor/sor-959-knotty-detection/ https://fred-schenkelberg-project.prev01.rmkr.net/podcast/sor/sor-959-knotty-detection/#respond Mon, 22 Apr 2024 10:10:12 +0000 https://accendoreliability.com/?post_type=podcast&p=541472 Knotty Detection

Abstract

Carl and Fred discuss reader questions on FMEA detection, a subject which can be challenging and confusing. Detection is a key part of FMEA during product development as well as in operation. This podcast will discuss some of the “knottiest” challenges with understanding detection in FMEA.

Key Points

Join Carl and Fred as they discuss when and how to use detection in FMEAs. Topics include:

  • Where and when are we detecting the problem?
  • Detection scales can appear reversed: high likelihood of detection is low score
  • MIL-STD 1629a does not use Detection scale during product development
  • There is risk from lack of detection during product development
  • Subject of detection during product development vs detection in operation
  • Example of oil light in vehicle
  • Monitoring and System Response (MSR)
  • Case studies where confusion exists with detection with tests and detection in operation
  • How to detect intermittent problems
  • What to do when conducting an FMEA and the “answer is not in the room”
  • Detection scale can be 1 to 5 or 1 to 10, the key is prioritizing risk
  • You want to detect the problem early in product development, if possible
  • Keep focus on creating a better product

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.



Show Notes

 

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