Webinar: Understand Product Performance with Life Data Analysis using Weibull

Webinar: Understand Product Performance with Life Data Analysis using Weibull

Wilde AnalysisJoin our webinar on 28th July to learn about the latest tools and techniques that will enable you to better understand and communicate how your products will perform over time.

Event Details

Start Date/Time: 28 July 14:00
End Date/Time: 28 Jul 14:30

Due to the long life times of today’s products it can be difficult for an engineer to analyse the time-to-failure data obtained under normal operating conditions. However, Life Data Analysis (Weibull Analysis) enables you to predict the life of a product by fitting a statistical distribution to life data from a representative sample of units. This data set can then be used to estimate important life characteristics of the product such as reliability or probability of failure at a specific time, the mean life and the failure rate.

During this webinar you will learn how to analyse product failures, from lab and field data, by generating models to predict expected life times using "ReliaSoft Weibull++":/reliability/software/reliasoft/weibull software. This type of analysis can help identify issues early, by highlighting where failures appear on the bathtub curve and action can be taken proactively to fix problems.

Topics Covered Include:

  • How Life Data Analysis (LDA) fits into a Reliability Program
  • What data is needed for analysis
  • Life Distributions and Models
  • What can this type of analysis tell us

There will be a short Q&A session and the end of this webinar.

Who Should Attend?

Anyone involved with collection and processing of Reliability Life Data. The webinar may also be of interest to those that are looking to expand their understanding of life data and how to interpret life results.

To register, or for further information, please visit: wildeanalysis.co.uk/events/2015/

Alternatively, please contact us on 0161 474 7479 or email events@wildeanalysis.co.uk


Event Type: Webinar
City: Stockport
Country: UK
Date: 28 Jul 2015