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The Bayesian-Weibull model in Weibull++ (which is actually a true "WeiBayes" model, unlike the 1-parameter Weibull that is commonly referred to as such) offers an alternative to the 1-parameter Weibull, by including the variation and uncertainty that might have been observed in the past on the shape parameter. To receive a demo version of a ReliaSoft software product, please complete the form below. A common approach for such scenarios is to use the 1-parameter Weibull distribution, but this approach is too deterministic, too absolute you may say (and you would be right). Under these conditions, it would be very useful to use this prior knowledge with the goal of making more accurate predictions. At the same time, most reliability tests are performed on a limited number of samples. For example, when a test is performed, there is often a good understanding about the behavior of the failure mode under investigation, primarily through historical data. ReliaSoft's Weibull software tool is the industry standard in life data analysis (Weibull analysis) for thousands of companies worldwide. There are many practical applications for this model, particularly when dealing with small sample sizes and some prior knowledge for the shape parameter is available. This model considers prior knowledge on the shape ( \beta\,\!) parameter of the Weibull distribution when it is chosen to be fitted to a given set of data. Bayesian concepts were introduced in Parameter Estimation. The Bayesian methods presented next are for the 2-parameter Weibull distribution. ReliaSoft's Weibull software tool is the industry standard in life data analysis (Weibull analysis) for thousands of companies worldwide. This article appears in the Life Data Analysis Reference book. 2 Bounds on Reliability for Bayesian-Weibull.1 Posterior Distributions for Functions of Parameters.
– Use plots and other reports to effectively communicate performance estimates to management. – Make predictions about performance during the useful life (or warranty) period. – Demonstrate that an item meets specified reliability. – Compare suppliers or designs based on reliability. Some of the many useful applications include the ability to: The Weibull++ software provides an extensive array of tools to help you understand and communicate how a product will perform over time. The software is also packed with tools for related reliability analyses, such as warranty data analysis, degradation data analysis, non-parametric data analysis, recurrent event data analysis and reliability test design.
The software supports all data types and all commonly used product lifetime distributions (including the Weibull model and the mixed Weibull model as well as the Exponential, Lognormal, Normal, Generalized Gamma, Gamma, Logistic, Loglogistic, Gumbel, Bayesian-Weibull and Competing Failure Modes). Weibull++ provides the most comprehensive toolset available for reliability life data analysis, calculated results, plots and reporting. Built by reliability engineers for reliability engineers, this package continues to raise the bar for statistical analysis software for reliability applications. 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. ReliaSoft’s Weibull++ software tool is the industry standard in life data analysis for thousands of companies worldwide. The standard for reliability life data analysis Weibull++: Life Data Analysis (Weibull Analysis) Software Tool