RELIASOFT WEIBULL++
The most comprehensive toolset available for reliability life data analysis
The industry standard for life data analysis
Ensure reliability, forecast warranty, and accelerate tests and reliability growth planning with ReliaSoft Weibull++.
Supporting all data types and all commonly used product lifetime distributions, Weibull++ includes tools for related reliability analyses, such as warranty data analysis, degradation data analysis, non-parametric data analysis, recurrent event data analysis, reliability test design and experiment design and analysis (DOE). Flexible reporting enables you to make decisions quickly based on analysis results.
Weibull++ can be extended to include Accelerated Life Testing (ALTA) and Reliability Growth Analysis (RGA).
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The most comprehensive toolset available for reliability life data analysis, calculated results, plots and reporting.
Why Use ReliaSoft Weibull++?
- Use data-driven analysis to address today’s demanding performance specifications
Make predictions about performance during the useful life (or warranty) period. Compare suppliers or designs based on reliability. Use plots and other reports to effectively communicate performance estimates to management. - 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. - Analyze system reliability with complex competing failure modes
Create reliability block diagrams (RBDs), and link analyses to model your unique scenarios.
How to interpret reliability metrics
Reliability metrics can be confusing for those starting out in the field of reliability engineering as it can often be difficult to relate the numbers and graphs back to the real world.
We explain what the metrics are and show how they can be read from typical reliability curves.
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Capabilities
- Life data types, distributions and parameter estimation
Supports all types of life data analysis with multiple parameter estimation options and all major lifetime distributions. - Distribution Wizard and Ranking Methods
Model guidance including goodness-of-fit tests - Confidence Bounds
Provides confidence bounds for parameters, calculated results and plots - Reliability Test Design
Determines the appropriate sample size, test duration or other variables for designing effective reliability tests and demonstration tests
- Warranty Data Analysis
Choice of data entry formats available for using sales/returns data to perform life data analysis and make warranty projections - Degradation Data Analysis
Extrapolate the failure times of a product based on its performance (degradation) over a period of time - Design Of Experiments (DOE)
Supports a variety of experiment design types, including factorial and fractional designs.
- Reliability Block Diagrams
Create reliability block diagrams (RBDs) using blocks that are linked to analyzed Weibull++ folios - Life Data Results, Plots and Results
Complete array of calculated results and plots based on the analysis. - Further Analysis and Calculations
Additional functionality to maximize return on investment.
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