ReliaSoft Weibull++
ReliaSoft Weibull++ software is the industry standard for life data analysis worldwide. It ensures reliability, forecast warranty, accelerate tests and reliability growth planning.
ReliaSoft Weibull++
ReliaSoft Weibull++ software is the industry standard for life data analysis worldwide. It ensures reliability, forecast warranty, accelerate tests and reliability growth planning.
Weibull++ is a comprehensive life data analysis tool that performs life data analysis utilising multiple lifetime distributions, warranty and degradation data analysis, design of experiment and more with a clear and intuitive interface geared toward reliability engineering.
Weibull++ can now be extended at an additional cost to include optionally licensed features for Accelerated Life Testing (formerly known as ALTA) and Reliability Growth (formerly known as RGA).
Key Capabilities:
- Support decisions with life data analysis results
Easily input multiple types of life data, and use all major lifetime distributions to get results quicker with flexible plots and reports. - Predict future failures and detect outliers
Automatically perform analyses with the Weibull++ warranty analysis folio. Enter data in four different formats to find the answers you need. - Gain deeper insights with design of experiments
Find the answers you need with a variety of experiment design types, such as DOE. - Ensure reliability within a specific time frame and confidence
Demonstrate that your product’s reliability goals are met. Design effective reliability and demonstration tests with appropriate sample size, test duration, and more. - Extrapolate failure times based on performance
Perform degradation data analysis and destructive degradation analysis with a variety of available models fit for your unique projects. - Analyse system reliability with complex competing failure modes
Create reliability block diagrams (RBDs), and link analyses to model your unique scenarios.
See All Functionality
Life data types, distributions and parameter estimation
Weibull++ supports all types of life data, including:
- Complete (failure time)
- Right censored (suspension time)
- Left censored
- Interval censored
- Free-form
All major lifetime distributions (including all forms of the Weibull distribution) are also supported:
- Weibull
- Normal and Lognormal
- Exponential
- Gamma and Generalised Gamma
- Logistic and Loglogistic
- Gumbel
- Bayesian-Weibull
- Mixed Weibull
- Competing Failure Modes (CFM)
Parameter estimation options for standard life data analysis include:
- Rank Regression on X (RRX)
- Rank Regression on Y (RRY)
- Maximum Likelihood Estimation (MLE)
- Non-Linear Rank Regression
- Fractional Failure Analysis
See how Weibull++ handles life estimation based on customer usage using a virtual model: Read More.
Distribution wizard and ranking methods
If you are not sure, which model is appropriate for a given data set, the Distribution Wizard automatically performs several types of goodness-of-fit tests (Kolmogorov-Smirnov, Correlation Coefficient, Likelihood value) in order to rank the available distributions. It comes also with the ability to rank data points using Kaplan-Meier or Median Ranks.n Ranks.
Confidence bounds
Weibull++ provides confidence bounds for parameters, calculated results and plots. Depending on the specific analysis method used, the confidence bounds may be calculated using the Fisher Matrix, Likelihood Ratio, Beta Binomial or Bayesian (BSN) approach.
Reliability test design
Reliability demonstration test design determines the appropriate sample size, test duration or other variables for designing effective reliability tests and demonstration tests. Expected failure times plot displays times-to-failure that you may expect to observe for a given reliability life test.
Difference detection matrix allows you to detect the difference between the reliabilities of two separate designs.
Warranty data analysis
A choice of data entry formats available for using sales/returns data to perform life data analysis and make warranty projections: nevada chart, times-to-failure, dates of failure and usage (e.g., mileage, cycles, etc.), as well as the time.
Degradation data 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. Weibull++ also includes destructive degradation analysis and the option to create user-defined degradation models.
Design of experiments (DOE)
Weibull++ supports a variety of experiment design types, including factorial and fractional designs, Taguchi robust designs, response surface method designs and DOE based on product life, called reliability DOE.
Reliability block diagrams
The built-in diagram feature allows you to create reliability block diagrams (RBDs) using blocks that are linked to analysed Weibull++ folios. This feature can be used to analyse complex competing failure modes or simple system reliability. You can even send RBDs built in Weibull++ to BlockSim. This process exports the blocks into a new BlockSim simulation diagram, allowing you to perform further analyses such as system maintainability, availability and related analyses.
Life data results, plots and reports
The Quick Calculation Pad (QCP) is a “Calculation Log” that allows you to record the results from a series of different calculations and then copy/paste the information as needed.
The software also provides a complete array of calculated results and plots based on the analysis. For life data analysis, this includes:
- Reliability or probability of failure
- Conditional reliability or conditional probability of failure
- Reliable life (i.e., time for a given reliability, also called “warranty time”)
- Probability plots and pdf plots
- Contour plots
- Failure/suspension histograms, pie charts or timelines
- BX% life (i.e., time for a given unreliability)
- Mean life
- Failure rate
Weibull++ provides a complete array of advanced plotting tools. The Plot Setup allows you to completely customise the “look and feel” of plot graphics. You can save your plots in a variety of graphic file formats for use in other documents.
- Overlay Plots (aka Multi-Plots)
- Side-by-Side Plots
- RS Draw® Metafile Graphics Editor
- 3D Plots
Customisable reports are also built into Weibull++. They seamlessly integrate spreadsheet and word processing capabilities while enabling you to include calculated results and plots from your analysis.
Related analyses and calculations
Repairable System Analysis
Use the General Renewal Process (GRP) model or the Mean Cumulative Function (MCF) to analyse recurrent event data.
Non-Parametric Life Data Analysis
Use Kaplan-Meier, Simple Actuarial or Standard Actuarial techniques when analysing incomplete data that does not fit any life distribution in a satisfactory way.
Event Log Folio
Use the specialised Event Log Folio to convert system failure and repair data into times-to-failure and times-to-repair.
Monte Carlo Simulation
Automatically perform analyses on simulated data sets in order to investigate confidence bounds, testing scenarios and help solve many other reliability engineering questions.
Optimum Replacement Time Calculation
It provides a powerful opportunity to reduce a system’s maintenance costs while maximising uptime. The new Maintenance Planning Tool generates a cost vs. time plot designed to help you determine the most cost-effective time to replace a system’s worn or failed components. The tool also offers an option to create preventive and/or inspection tasks for use in BlockSim’s simulation diagrams.
Non-Linear Equation Fit Solver
Estimates the parameters of any user-defined non-linear equation. This gives you the flexibility to perform simple parameter estimation on statistical models other than the life distributions and life-stress relationship models available in standard folios. After you have solved the equation, the tool provides a plot to visualise how the data fit the function, and also makes it easy to calculate Y for any given X value.
Non-Linear Equation Root Finder
Quickly solves for the root of any user-defined non-linear equation. This helps you eliminate some of the guesswork of solving for the value of the unknown variable that makes the function be as close to zero as possible.
Quick Parameter Estimator
Estimates the parameters of a statistical model based on what you know about the behaviour over time. The software will “translate” your answers into the inputs required to obtain the model parameters.
Quick Statistical Reference
Frees you from tedious lookups in tables by quickly returning results for commonly used statistical functions. Results include Median Ranks, Chi-Squared Values, Cumulative Binomial Probability, and many more. There is also a Polynomial Interpolation Function that allows you to enter known data points and then calculate Y for any given X value.
Optionally Licensed Features
Weibull++ now provides licensed options for Accelerated Life Testing (formerly known as ALTA) and Reliability Growth (formerly known as RGA).
Simplify your data transfer and expand further your reliability calculations within one unified interface. With this collaborative approach, you can now calculate reliability metrics, forecast warranty, design, and accelerate tests and model reliability growth using Weibull++.
Accelerated Life Testing module
The Accelerated Life Testing module provides a complete solution for accelerated test planning and quantitative accelerated life testing data analysis. Design accelerated life tests and calculate necessary reliability metrics to significantly reduce test times and lower development costs. With the most complex accelerated test data analyses and test plans available for multiple stress types, where stress is constant or varies by time, you will be able to produce more robust designs.
Reliability Growth module
Use reliability growth projections, reliability growth program planning and multi-phase reliability growth analysis to analyse data from both developmental testing and fielded repairable systems. Monitor reliability improvements over time and predict failures before they occur to evaluate the reliability growth management strategy. You can also quantify reliability growth across multiple test phases, design test plans for repairable systems and determine the test time required per system in order to demonstrate a specified reliability goal.
