Ensure reliability, forecast warranty, and accelerate tests and reliability growth planning
ReliaSoft Weibull++ is a comprehensive life data analysis tool that performs life data analysis utilizing 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
Discover what make Weibull++ a powerful choice tool for life data analysis
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.
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.
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.
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.
Gain deeper insights with design of experiments
Find the answers you need with a variety of experiment design types, such as DOE.
Analyze system reliability with complex competing failure modes
Create reliability block diagrams (RBDs), and link analyses to model your unique scenarios.
Enhance your results and calculations with two Weibull++ modules
Design accelerated tests to achieve desired results
Improve reliability with the Reliability Growth module
Key Features
Discover key capabilities that make Weibull++ a powerful choice tool for life data analysis
- Complete (failure time) Right censored (suspension time)
- Left censored
- Interval censored
- Free-form
- Rank Regression on X (RRX)
- Rank Regression on Y (RRY)
- Maximum Likelihood Estimation (MLE)
- Non-Linear Rank Regression
- Fractional Failure Analysis
- Weibull
- Normal and Lognormal
- Exponential
- Gamma and Generalized Gamma
- Logistic and Loglogistic
- Gumbel
- Bayesian-Weibull
- Mixed Weibull
- Competing Failure Modes (CFM)
- 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
- Overlay Plots (aka Multi-Plots)
- Side-by-Side Plots
- RS Draw® Metafile Graphics Editor
- 3D Plots
Repairable system analysis
Use the General Renewal Process (GRP) model or the Mean Cumulative Function (MCF) to analyze recurrent event data.
Non-Parametric Life Data Analysis
Use Kaplan-Meier, Simple Actuarial or Standard Actuarial techniques when analyzing incomplete data that does not fit any life distribution in a satisfactory way.
Event Log Folio
Use the specialized 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 maximizing 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 visualize 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 behavior 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.
Training Courses
Find training for life data analysis, accelerated life testing, and reliability growth with guided usage of Weibull++ software.
Events
Software Videos
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Case Studies
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Asset Performance Management Supported by Reliability Engineering
Companies need to understand the environmental impacts of their businesses and to respond to the increasing market pressure driven by investors, consumers, the media, regulators and other stakeholders.
Creating Initial Scheduled Maintenance Plans for Aircraft, MSG-3
Companies need to understand the environmental impacts of their businesses and to respond to the increasing market pressure driven by investors, consumers, the media, regulators and other stakeholders.
MIL-217, Bellcore/Telcordia and Other Reliability Prediction Methods for Electronic Products
Companies need to understand the environmental impacts of their businesses and to respond to the increasing market pressure driven by investors, consumers, the media, regulators and other stakeholders.
Our Valuable Customers
