Weibull Analysis Resources

Weibull Analysis Training

Open Training – Fall 2021 Session: Weibull Analysis

Why do you need to take this course?
Weibull analysis is the starting point to problem-solving for most production reliability and maintainability issues. If you are an engineer, manager or engineering student, you will need to understand basic failure distributions, reliability engineering math, analyses, and data comparisons. Quanterion’s Weibull Analysis course will teach you all that and more.

If you want to develop your engineering knowledge, learn how to perform real-world life data analyses and applications to products, or simply deepen your understanding of reliability analyses to enrich your technical career, this course is for you.

Course Dates
Tuesday, Sept. 14, 2021 through Thursday, Sept. 16, 2021.

Course Location
San Diego Training and Conference Center
450 B Street, Suite 650
San Diego, CA 92101

Group Discount
Groups of three to four receive a 10% discount and groups of five or more receive a 20% discount.

Course Registration Deadline
Sept. 1, 2021

Discover the benefits of attending this course including a free download of the popular System Reliability Toolkit-V – hundreds sold! 

Video Training – Life Data Trend and Weibull Analysis

Reliability Analysis is a necessary means of using failure data to understand trends so that reliability can be improved to more effectively meet warranty budgets, mission readiness, and support cost limitations. This module is aimed at helping the student understand the limitations of various data sources, and the tools to determine if there are trends in their data that can be identified for corrective action. The topics include:

  • Sources of Reliability Data
  • Graphical Analysis
  • Trend Analysis
  • Basic Weibull Analysis

Weibull Analysis Publications and Related Products

The New Weibull Handbook, 5th Ed.

This handbook will provide an understanding of life data analysis. Weibull and Log Normal analysis is emphasized particularly for failure analysis. New applications of this technology in medical and dental implants, warranty analysis, life cycle cost, materials properties and production process control are discussed. Related quantitative models such as the binomial, Poisson, Kaplan-Meier, Gumbel extreme value and the Crow-AMSAA are also included. The author intends that a novice engineer can perform Weibull analysis after studying this handbook. A secondary objective is to show the application of personal computers to replace the laborious hand calculations and manual plotting required in the past.

The SuperSMITH® Package by Fulton Findings LLC

SuperSMITH®, developed by Fulton Findings LLC, is the leading software package for Weibull Engineering. The software comes on a single CD and installs on standard Windows® systems or Windows emulators in seconds. This software performs variability analysis for life data or for dimension data. Important uses are for reliability, safety, maintainability, supportability, quality control, product assurance, sizing, and warranty analysis. The SuperSMITH® Package also includes “The New Weibull Handbook” by Dr. Robert B. Abernethy and the PlayTIME™ software tutorial booklet.

Warranty Calculator

The Warranty Calculator was developed to provide automated calculations and comparisons for ten different warranty types in common use. The tool also includes data, information and references that provide further guidance for over 30 additional warranty types. Strategic warranty planning can increase customer confidence, reduce operational costs and provide the opportunity to generate revenue. Effective warranties integrate reliability, maintainability, supportability, availability, and life-cycle costs to arrive at optimized solutions.

Weibull Analysis RELease Book

The statistical analysis of an item’s failure data is widely regarded as one of the most accurate techniques for assessing its reliability in a specific application or environment. Though there are many different statistical distributions (e.g., exponential, lognormal, etc.), the Weibull distribution is especially useful because of its ability to characterize a wide range of potential data trends. More specifically, it can be fit to a dataset exhibiting an increasing, constant or decreasing failure rate, a unique feature that separates the Weibull distribution from its counterparts. This feature also allows the Weibull distribution to mimic other statistical distributions, and is the reason why it is often used as a first approximation for fitting a collection of failure data.

Weibull Analysis Articles

Reliability Engineering Terms – Weibull Analysis

Weibull Analysis is a statistical analysis that is used to determine reliability characteristics and trends from field and/or test failure data. It allows decisions to be made based on a limited amount of data. The Weibull distribution can be fit to datasets exhibiting an increasing, decreasing, or constant failure rate, a unique factor that separates it from other statistical distributions.

Read the full article to learn more about Weibull Analysis including the payoff and how Quanterion Solutions can help your company perform the analysis.

Which Design is More Reliable? Weibull Provides Answers! 

Weibull Analysis is often used to analyze field or test failure data to understand item failure trends and identify specific underlying statistical distribution that characterizes these failures. One of our staff engineers was recently responsible for making a vendor recommendation for a limited life item that had a specified 5% minimum life of 16,000 cycles (i.e., no more than 5% of the population was allowed to fail prior to 16,000 cycles).

Read the full article.

Maintenance Planning with Wearout Failure Modes

This Reliability Que will discuss how Weibull analysis qualitative results showing a wearout failure mode can be utilized to quantitatively drive the decision making process in Reliability Centered Maintenance (RCM) programs.

Read the full article.

Maintenance Planning with a Constant Failure Rate

This Reliability Que will discuss an example of how Weibull analysis qualitative results showing a constant failure rate affect the maintenance planning process. The qualitative results can be utilized to quantitatively drive the decision-making process in Reliability Centered Maintenance (RCM) programs.

Read the full article.

Maintenance Planning with Early Failures

This Reliability Que will discuss an example of how Weibull analysis qualitative results showing early failures (Infant Mortality) can be utilized to quantitatively drive the decision making process in Reliability Centered Maintenance (RCM) programs.

Read the full article.

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