Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
    • Speaking Of Reliability
    • Rooted in Reliability: The Plant Performance Podcast
    • Quality during Design
    • CMMSradio
    • Way of the Quality Warrior
    • Critical Talks
    • Asset Performance
    • Dare to Know
    • Maintenance Disrupted
    • Metal Conversations
    • The Leadership Connection
    • Practical Reliability Podcast
    • Reliability Hero
    • Reliability Matters
    • Reliability it Matters
    • Maintenance Mavericks Podcast
    • Women in Maintenance
    • Accendo Reliability Webinar Series
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Breaking Bad for Reliability
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • The RCA
      • Communicating with FINESSE
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Hardware Product Develoment Lifecycle
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Special Offers
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Journals
    • Higher Education
    • Podcasts
  • Courses
    • Your Courses
    • 14 Ways to Acquire Reliability Engineering Knowledge
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
      • FMEA Introduction
      • AIAG & VDA FMEA Methodology
    • Barringer Process Reliability Introduction
      • Barringer Process Reliability Introduction Course Landing Page
    • Fault Tree Analysis (FTA)
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Webinars
    • Upcoming Live Events
    • Accendo Reliability Webinar Series
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
Home » Podcast Episodes » Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance » SOR 886 Making Assumptions

by Kirk Gray 1 Comment

SOR 886 Making Assumptions

Making Assumptions

Abstract

Kirk and Fred discuss the use of assumptions in the reliability models, testing, and predictions

Key Points

Join Kirk and Fred as they discuss how assumptions are used in reliability engineering and how they can be misleading or very limited in making reliability assessments.
Topics include:

  • Assumptions must be made about potential stresses and environments the product will be used when creating reliability testing or evaluations. The assumption that all supply chains will always be capable and never have a process “excursion” is optimistic and process variations do lead to latent defects
  • Kirk once was a part of a committee organized to determine why the reliability predictions made by the “reliability engineering” organization were not correlating to actual field failure rates. They seemed to not question that they were using industry accepted standard failure rates (i.e. MIL HNBK 217F) that were derived from technology many years before and that they were not aware of what was failing in the field nor the root causes.
  • Some companies continue to require reliability predictions using models that have little to no correlation to actual field failure mechanisms, because that’s what has always been done.
  • There are some mechanical wear out mechanisms, such as a magnetic tape wear to the read/write head glass surface,  that can be measured and the rate of wear can be reasonably known and valid estimates of life can be made.
  • The life entitlement in solid state electronics for nominally built devices is almost always well beyond the systems technological obsolescence, and most failures are due to errors in design or manufacturing, or customer abuse.

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.


Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance
Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance
SOR 886 Making Assumptions
Loading
00:00 /
RSS Feed
Share
Link
Embed

Download filePlay in new window

Download Audio RSS

Show Notes

You can now purchase the most recent recording of Kirk Gray’s Hobbs Engineering 8 (two 4 hour sessions) hour Webinar “Rapid and Robust Reliability Development – 2022 HALT & HASS Methodologies Online Seminar” from this link.

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”

For more information on the newest discovery testing methodology here is a link to the book “Next Generation HALT and HASS: Robust design of Electronics and Systems” written by Kirk Gray and John Paschkewitz.


Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance

About Kirk Gray

My Passion for developing reliable products

Why did it fail?

This is the fundamental question that drove my career from first repairing electronics in the 1970’s to today. It was from this perspective that my passion for reliability engineering grew from investigating, discovering and understanding of why products fail. By starting with how electronics systems actually fail (empirical not theoretical) gave me a frame of reference to understand ways to rapidly discover failure mechanisms.

Comments

  1. Carl DuPoldt says

    August 13, 2023 at 10:51 AM

    The worst thing you can do is make an assumption without verifying the facts. Take time to gather information and data before jumping to conclusions or making a decision on something important. Ask questions when in doubt. If there’s any uncertainty about what something means, ask questions. – https://melissaherb.medium.com/why-assumptions-are-bad-for-you-and-3-tips-to-avoid-them-57358350a1e4

    Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Speaking of Reliability podcast logo Subscribe and enjoy every episode
Google
Apple
Spotify
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.

Join Accendo

Receive information and updates about podcasts and many other resources offered by Accendo Reliability by becoming a member.

It’s free and only takes a minute.

Join Today

Please login with your site registration to suggest a topic or post a question.

If you haven't registered, it's free and takes only a moment.

Registration

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy

Book the Course with John
  Ask a question or send along a comment. Please login to view and use the contact form.
This site uses cookies to give you a better experience, analyze site traffic, and gain insight to products or offers that may interest you. By continuing, you consent to the use of cookies. Learn how we use cookies, how they work, and how to set your browser preferences by reading our Cookies Policy.