Accendo Reliability

Your Reliability Engineering Professional Development Site

  • About
    • Adam Bahret
    • Alex Williams
    • Andre Kleyner
    • Anne Meixner
    • Arthur Hart
    • Ash Norton
    • Carl Carlson
    • Chris Jackson
    • Chris Stapelmann
    • Dennis Craggs
    • Dev Raheja
    • Doug Lehr
    • Doug Plucknette
    • Fred Schenkelberg
    • George Williams
    • Gina Tabasso
    • Greg Hutchins
    • James Kovacevic
    • James Reyes-Picknell
    • Joe Anderson
    • John Paschkewitz
    • Katie Switzer
    • Kevin Stewart
    • Kirk Gray
    • Les Warrington
    • Mike Konrad
    • Mike Sondalini
    • Nancy Regan
    • Perry Parendo
    • Philip Sage
    • Ray Harkins
    • Rob Allen
    • Robert (Bob) J. Latino
    • Robert Kalwarowsky
    • Ryan Chan
    • Shane Turcott
    • Steven Wachs
    • Tim Rodgers
    • Usman Mustafa Syed
  • Reliability.fm
    • Dare to Know
    • Speaking Of Reliability
    • Rooted in Reliability: The Plant Performance Podcast
    • Maintenance Disrupted
    • Practical Reliability Podcast
    • Reliability Matters
    • Masterminds in Maintenance
    • Accendo Reliability Webinar Series
    • Asset Reliability @ Work
  • Articles
    • CRE Preparation Notes
    • on Leadership & Career
      • Advanced Engineering Culture
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • Maintenance and Reliability
      • Plant Maintenance
      • ReliabilityXperience
      • RCM Blitz®
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The RCA
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Musings on Reliability and Maintenance Topics
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside FMEA
      • Integral Concepts
      • Testing 1 2 3
      • The Manufacturing Academy
      • Reliability Reflections
  • eBooks
    • Reliability Engineering Management DRAFT
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Feed Forward Publications
    • Openings
    • Books
    • Webinars
    • Journals
    • Higher Education
    • Podcasts
  • Groups
    • Reliability Integration
    • Mastermind
    • Study Groups
  • Courses
    • 14 Ways to Acquire Reliability Engineering Knowledge
    • Reliability Analysis Methods online course
    • SPC-Process Capability Course
    • Reliability Centered Maintenance (RCM) Online Course
    • Measurement System Assessment
    • Process Capability Analysis course
    • Root Cause Analysis and the 8D Corrective Action Process course
    • Return on Investment online course
    • 5-day Reliability Green Belt ® Live Course
    • 5-day Reliability Black Belt ® Live Course
    • CRE Preparation Online Course
  • Webinars
    • Upcoming Live Events
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
Don’t show this message again.

Cookies

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.

by Christopher Jackson 9 Comments

Weibull Probability Plotting

Weibull Probability Plotting

Weibull Probability Plotting
How to learn more by just looking!

Speaker: Chris Jackson

If you are a reliability engineer – chances are you have done a Weibull plot. You take something like failure data, put it into a piece of software, and presto!

You get a straight line with other numbers and stuff that makes your organization smarter! But if you know a couple of things (or tricks of the trade) you can simply look at this so-called straight line and learn a lot more than some numbers will ever teach you.

Data is only as useful as the information you get from it. So would you like to take your reliability engineering or probability plotting skills to the next level? Then check out this webinar!

This Accendo Reliability webinar originally broadcast on 24 March 2020.

The audio track is now an Accendo Reliability Webinar Series podcast episode. View the episode show notes to listen or subscribe to podcast

Please login with your site registration to view the video recording.

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

View Previous View Next

Comments

  1. Rafael Cortês de Medeiros says

    March 26, 2020 at 2:13 PM

    Thank you Chris, this webinar was very helpful on understanding the principles related to weibull analysis! I’ve been used some statistical softwares for so long, and I’ve never paid proper attention in some important details as I could notice now just by watching you doing the step-by-step in the plotting papers.

    Reply
    • Christopher Jackson says

      June 7, 2020 at 5:57 AM

      Thanks Rafael! Much appreciated. Please keep letting me know of things we can improve, and cover in the future.

      Reply
  2. DonMacArthur7 says

    April 6, 2020 at 1:31 PM

    Best explanation of Weibull I’ve ever heard. Thanks for sharing!

    Reply
    • Christopher Jackson says

      June 7, 2020 at 5:57 AM

      Don … thanks for the feedback! Please let me know if you want anything else covered in this series.

      Reply
  3. Jeya Baskar says

    June 6, 2020 at 7:41 PM

    Beautifully narrated with a logical approach & well explained.. Thanks!

    Reply
    • Christopher Jackson says

      June 7, 2020 at 5:56 AM

      Thanks Jeya! Much appreciated!

      Reply
  4. Jeya Baskar says

    June 6, 2020 at 7:55 PM

    I’ve got a question: “63.2% of all values of the plot fall below the charecterisitic life regardless of the shape parameter” – Can you please explain the logic behind this statement and how 63.2% emerged? Thank you.

    Reply
    • Christopher Jackson says

      June 7, 2020 at 5:55 AM

      Hi Jeya! Good question. There is no ‘logic’ behind this per se. But if we just look at the cumulative distribution function (CDF) of the Weibull distribution …

      $$F(t) = 1 – e^{\left(- \frac{t}{\eta} \right) ^{\beta}}$$

      … you can see that if t is equal to the characteristic life then

      $$F(\eta) = 1 – e^{-\left( \frac{\eta}{\eta} \right) ^{\beta}} = 1 – e^{-1^{\beta}} = 1 – e^{-1} = 0.63212…$$

      Hope this helps!

      Reply
      • Jeya Baskar says

        June 10, 2020 at 5:15 AM

        Ahhh.. got it.. thanks

        Reply

Leave a Reply Cancel reply

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

  • Accendo Webinars
    • Product Reliability Webinars
      • Estimating Value
    • Reliable Process Solutions 2021 Webinar Series
      • Safety & Reliability
      • Lubrication Fundamentals
      • Problem Solving in Maintenance
      • Predictive Technologies
      • Equipment Component Failures
      • Centrifugal & Positive Displacement Pumps
      • Precision Alignment
      • Preventive Maintenance
      • Developing World Class Maintenance Strategy
      • Effective CMMS
      • Mechanical Ultrasound
      • Planning & Scheduling Fundamentals
    • Maintenance Webinars
      • 5 Levels of Effective Maintenance Scheduling
      • Gate Keeping the Storeroom
    • Accendo Reliability Webinar Series
      • Fundamentals of Root Cause Analysis
      • Fundamentals of Hazard Analysis
      • Fundamentals of Cost of Poor Reliability
      • Fundamentals of Weibull Analysis
      • Fundamentals of Sample Size Determination
      • Fundamentals of Environmental and Use Conditions
      • Fundamentals of Stress Screening
      • 10 Keys for Maximizing the Benefits of Your SPC Program
      • Process Capability, Tolerance, and Reliability
      • Fundamentals of Stress-Strength Analysis
      • Fundamentals of Human Factors
      • Fundamentals of Reliability Testing
      • Fundamentals of Reliability Related Standards
      • Fundamentals of Physics of Failure
      • Improve Your Reliability Teaching Skills
      • Using Available Weather Data
      • Fundamentals of Monte Carlo Analysis
      • Fundamentals of Tolerance Analysis
      • Fundamentals of Field Data Analysis
      • Fundamentals of Measurement System Analysis
      • What You Need to Know About MTBF
      • Creating Effective Reliability Graphics
      • Fundamentals of the Cost of Unreliability
      • Interpreting Standard Testing Results
      • 3 Steps to Improve Your Reliability Culture
      • How is Reliability Engineering Changing?
      • Why Reliability Engineering Is Important
      • 3 Ways to Do Reliability Allocation
      • Weibull Probability Plotting
      • How to Learn Reliability Engineering
      • PDFs, CDFs, and other ‘Fs’ — What the hell are they?
      • Reliability Engineering versus Quality Engineering
      • Optimizing Servicing Intervals and Witchcraft. There actually is a difference.
      • What to Do About MTBF Use
      • Overview of Life Testing in Minitab
      • The Reliability Value Map. It is a thing.
      • Selecting Reliability Engineering Tools
      • The Survivorship Bias Principal
      • So what is up with this ‘Bayesian’ analysis stuff
      • Essential Reliability Engineering Concepts
      • Practical Use of Stress-Strength Models to Develop Specifications
      • Reliability analysis … now what?
      • Essential Reliability Engineering Techniques
      • Reliability analysis … now what? Part 2
      • 6 Essential Reliability Engineering Formulas
      • Preventing Moisture and Corrosion Damage on Electronics in Harsh Conditions
      • Reliability analysis … now what? Part 3
      • Reliability Engineering and Risk Analysis
      • Reliability analysis … now what? Part 4
      • Looking Forward with Reliability Engineering
      • Three Approaches to Accelerated Life Testing
      • Reliability Making Money
      • Acceleration Factors with Examples
      • Reliability Making Money 2 — Case study of just looking at a Weibull plot
      • Fixing the Irrelevance of Reliability in Your Organization: Just ask ‘why’

© 2021 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy