SuperSMITH Weibull & SuperSMITH Visual

Basic Training Class For Reliability Software

 

SuperSMITH Weibull (SSW) and SuperSMITH Visual (SSV) are two excellent software tools for making reliability data “speak”.  This page describes a 1, 1.5, or 2-day, basic, training course in how to use the software to solve reliability problems using software written by Fulton Findings.  The Basic Weibull/Visual Software Training Class will teach engineers how to use SSW probability plotting software and SSV Crow-AMSAA growth plotting software for most common applications.  SuperSMITH® is a trademark of Fulton Findings.

 

This course is more elementary and uses different examples than listed in the PlayTIME with SuperSMITH computer tutorial which is intended to show the complete set of features for SSW and SSV.  PlayTIME with SuperSMITH is used by Dr. Abernethy and Wes Fulton in the Weibull Analysis Workshops.

 

The Basic Weibull/Visual Software Training Class emphasizes how to perform the elementary features of the software for analysis and prediction of reliability features.  You can download a short PDF file that shows excerpts from the Basic SSW-SSV Training Manual.  This short file will help you get started with the software and how you interpret a Weibull plot or a Crow/AMSAA plot.

 

Each student must bring their own notebook computer or have access to a desktop computer to practice the problems demonstrated during the lecture.  If each student does not have access to an authentic version of both software, then demonstration software will be used with authentic files provide by the instructor.  Please note the demonstration software will function with fidelity as full strength software when authentic files saved from SSW and SSV full strength programs are used—however data hand entered by the student into the demonstration software will result in some randomization of the data file.

 

Each student is encouraged to bring their own datasets for analysis to supplement data files supplied by the instructor so that the student can experience enlightenment in how to make his own data “speak”.

 

Topics for the hands-on training course are:

 

Day 1--

  • How to enter data for plotting probability plots in SuperSMITH Weibull (SSW)
  • How to import one column data from Excel spreadsheets into SSW for ages-to-failure
  • How to import two column data from Excel spreadsheets into SSW for age-to-failure and quantity of observations
  • How to signal SSW for data that is suspended (censored).
  • How to use Excel’s concatenate function for organizing complex data for import to SSW and SSV as a single column
  • How to make a SSW probability plot
  • How to interpret a SSW probability plot
  • How to add labels and change formats
  • How to use distribution analysis in SSW to find critical R2’s, PVE’s, and find best curve fit
  • How to make SSW optimum replacement calculations and how to show the graphs in SuperSMITH Visual (SSV) software to determine maintenance strategies
  • How to use Monte Carlo simulations to draw data sets for comparisons
  • How to use the likelihood ratio test to determine if significant differences exist between data sets and how to interpret the tests in SSV
  • How to put confidence limits on probability plots for Fisher Matrix, Likelihood Ratio, Monte Carlo Pivotal confidence limits
  • How to print graphs and export screen plots to Word, PowerPoint, and Excel
  • How to export graphs for Board Of Directors graphics
  • How to make statistical calculations under the calculator icon for: binomial, Chi2, Anderson-Darling, Exponential, Gamma, Interactions of strength-load, life remaining, mean-to-eta, eta- to-mean, outlier test, Poisson, MTTF with planned renewal, set comparison/difference, student-t, coefficient of variation, and probability rank plot position on the Y-axis

 

Day 2--

  • How to handle mixtures of data in SSW
  • How to make Weibayes plots in SSW with only one failure data
  • How to forecast failures in SSW using the Abernethy risk prediction
  • How to forecast the next failure
  • How to make 3-parameter probability plots and why they should/should-not be used
  • How to make process reliability plots using production output data to find the hidden factories and the reliability of the process
  • How to make Crow-AMSAA reliability growth plots in SSV
  • How to import one column data from Excel spreadsheets and two column data into SSV
  • How to interpret a SSV Crow-AMSAA plot
  • How to handle cusps on SSV Crow-AMSAA plots to get trend lines
  • How to show failures avoided on Crow-AMSAA plots
  • How to transform Crow-AMSAA plots to find MTBF and instantaneous MTBF trend lines.
  • How to find statistics for Crow-AMSAA plots
  • How to put confidence limits around MTBF plots
  • How to make plots from equations
  • How to swap axis and perform curve fits
  • How to extrapolate lines for future failure predictions
  • How to change Crow-AMSAA plots for simple regression curve fits, IEC curve fits, and MLE curve fits and why to use each method

 

 

The students are encouraged to bring their own data for Weibull and Lognormal data for making plots and for Crow/AMSAA plots to discuss the origin of the data and what the analysis of their data tells us concerning future failures and the opportunity for making improvements.

 

Who should attend the SSW-SSV training class?

            Production supervisors will find new tools for understanding how operations can make their data “talk” and how to guide the efforts of their reliability engineers.

            Engineers will learn new techniques for making forecasts and putting their data into useful formats to interpret results of field failures and test programs.  They will also see how the failure data is used to justify making equipment more reliable as a business decision

            Maintenance supervisors will find these reliability tools helpful for providing supporting evidence during root cause failure investigations using data from their CMSS systems plus they will understand the necessity of putting accurate data into the CMMS database.

            Managers will find business aspects of how to convert raw data into time and money decisions for improvement programs to reduce the cost of unreliability.

 

Attendees at the SSW-SSV training class are recommended to have completed the Reliability Engineering Principles (REP) training class—however; it is not a mandatory requirement.  REP will familiarize students with traditional reliability issues and provide information for the cost models.

 

Schedules for training classes are generally conducted for individual companies and unless otherwise designated, the company sponsored classes are not generally open to others (occasionally opportunities arise for outsiders to get a seat or two as an exception)

 

Prices for the training classes are posted on the Internet for USA locations.  Prices for foreign sites will be slightly higher because of travel time/air fare and quoted on a case by case inquiry.  Send your Email inquires to Paul Barringer  or by telephone at 1-281-852-6810.

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Last revised 4/21/2011