Lifetime modeling

lifetime modeling

Three aspects are crucial for reliability and lifetime modeling: a clear objective, preliminary test planning and sample size estimation. Considering all of these aspects will save you time and money.

We offer advanced training courses covering reliability and lifetime modeling. Our focus is on electronic systems and devices. Reliability and lifetime concepts include the development of models, the testing itself and the application of statistical tools. The practical application of reliability and lifetime models in your research, development and production phases is of utmost importance to us.

Possible training and project contents:

  • Verification of test stations for reliability and lifetime tests
  • Planning, performance and analysis of tests
  • Estimation of the required sample size by means of statistical methods
  • Translation of customer requests into a testing strategy
  • Influence of manufacturing parameters on the product lifetime
  • How to use FIT-rates
  • Creating lifetime models
seminars for data science

Stages of reliability testing

Research

Reliability and lifetime tests should be included into the process as early as during the research of new technologies, material or concepts. The understanding of the physics of failure is particularly important for later stages in the process.

Development

During the development phase, lifetime models that were generated during the research phase are compared to application-oriented tests. Both analytical approaches, as well as FEM calculations are performed. Moreover, typical distributions for the failure modes are determined.

Production

During the production phase, lifetime testing results are used to fine-tune models with field data. Calculations that originated during the development phase aid with troubleshooting. This is also where the physics of failure from the research phase come into play, as these are compared with field returns.

Articles about lifetime modeling:

  • In this new cluster training course, you will learn the basics of lifetime and reliability analysis for electronic systems – for both system design and verification by simulation and testing. ...

  • This article describes the statistical reliability and lifetime analysis with the focus on electronic devices. It contents the basics of statistical methods. These include lifetime distributions for electronic components, hypothesis tests and quality of data characteristics. Practical data analysis is also part of this paper. In summary, you will find some recommendations and tricks for statistical analysis....

Do you have further questions regarding lifetime modeling? Do not hesitate to contact us!