Weibull 7 Brochure.qxd

The standard for reliability life data analysisSM
Weibull++ is the industry standard in reliability and life
data analysis (Weibull analysis) for thousands of
companies worldwide. The software performs life data
analysis utilizing multiple lifetime distributions
(including all forms of the Weibull distribution), with a
clear and concise interface geared toward reliability
engineering.
For Version 7, Weibull++ was redesigned from the
ground up. It incorporates many new and enhanced
features, including a greatly enhanced user interface,
an expanded warranty analysis utility, integrated
reliability block diagrams and recurrent event data
analysis.
http://Weibull.ReliaSoft.com

LIFE DATA ANALYSIS AND A COMPLETE SET OF RELATED ANALYSES
Weibull++ provides a complete array of data analysis, plotting and reporting
Platform
tools for standard life data analysis (Weibull analysis) with integrated support
Windows NT, 2000, XP or Vista.
for a variety of related analyses. Built by reliability engineers for reliability
engineers, this package continues to raise the bar for statistical analysis
Languages
software for reliability applications.
English, German, French,
Portuguese, Spanish, Simplified
All the options you need for life data analysis
Chinese and Japanese.
Integration
 All Types of Data: Weibull++ supports Complete, Right Censored
ALTA, DOE++, BlockSim, RENO,
(Suspended), Left Censored, Interval Censored and Free-Form data, entered
RGA, Xfmea, RCM++ and
individually or in groups.
XFRACAS.
A specialized interface to analyze event log data is also available.
Support
 All Major Lifetime Distributions: The software supports data analysis
ReliaSoft’s unparalleled
with any of the following lifetime distributions: 1, 2 and 3 parameter
after-sale support includes free
Weibull, Mixed Weibull, 1 and 2 parameter Exponential, Lognormal,
telephone, fax or e-mail support.
Normal, Generalized Gamma, Gamma, Logistic, Loglogistic, Gumbel and
Free minor version updates are
Weibull-Bayesian. Competing Failure Modes analysis is also supported.
also included.
The Distribution Wizard automatically performs goodness-of-fit tests to
help you select the most appropriate distribution for each data set.
Results, plots and reports at the click of a button
 Parameter Estimation and Calculated Results: Weibull++ supports both Rank Regression and Maximum
Likelihood Estimation (MLE) for parameter estimation.
Integrated utilities quickly return calculated results (such as reliability given time and BX life) based on the data
analysis and your inputs. Confidence bounds are available for all parameters and calculated results.
 Plots and Automated Reports: The software automatically generates a complete array of reliability plots,
with customizable settings. Plots are metafile graphics that can be annotated and used in your reports and
presentations. Automated report generation is also available.
A complete set of related analyses
 Warranty Analysis: Perform life data analysis and make warranty projections based on sales and returns data.
Warranty analysis data can be entered in a Nevada, Times-to-Failure or Dates of Failure format.
 Reliability Block Diagram: Use Reliability Block Diagrams (RBDs) that are integrated with calculated data
folios to analyze competing failure modes and perform other system analyses.
 Recurrent Event Data Analysis: Use parametric or non-parametric methods to analyze events that are
dependent and not identically distributed (such as repairable system data) and/or to model the number of
occurrences of an event over time.
 Degradation Analysis: Use the Linear, Exponential, Power, Logarithmic, Gompertz or Lloyd-Lipow models to
extrapolate the failure times of a product based on its performance (degradation) over a period of
time.
 Design of Reliability Tests: Determine the appropriate sample size, test duration or other
variables for reliability demonstration tests.
 SimuMatic®: Automatically perform large quantities of analyses on simulated data sets in order
to investigate various reliability questions, including analyses to construct confidence bounds,
design reliability tests or experiment with different analysis methods.