Predicting Solder Joint Failure from Field and Test Data
Learn about that statistical methods used to track PCB field failures and how these methods are used in corresponding failure simulations during this upcoming webinar.
Ansys는 학생들에게 시뮬레이션 엔지니어링 소프트웨어를 무료로 제공함으로써 오늘날의 학생들의 성장을 지속적으로 지원하고 있습니다.
Ansys는 학생들에게 시뮬레이션 엔지니어링 소프트웨어를 무료로 제공함으로써 오늘날의 학생들의 성장을 지속적으로 지원하고 있습니다.
Ansys는 학생들에게 시뮬레이션 엔지니어링 소프트웨어를 무료로 제공함으로써 오늘날의 학생들의 성장을 지속적으로 지원하고 있습니다.
Learn about that statistical methods used to track PCB field failures and how these methods are used in corresponding failure simulations during this upcoming webinar.
Printed Circuit Boards (PCBs) are susceptible to several known solder failure modes assessed using statistical methods. These methods often predict when test and field failures may occur during the product development process.
As such, it is crucial for engineers working on electronic products to have a solid understanding of the key statistical concepts to perform such assessments.
This webinar will cover the calculations used to track field failures and those used as a part of the corresponding failure simulation process. The simulation results and failure data discussed will be correlated using Weibull parametrization (we'll explain the WEIBULL.DIST function in Excel along the way).
These correlation studies illustrate how acceleration factors are calculated and used. We will also use these calculation methods to discuss the statistically significant sample size impact on test resolution.
Gil Sharon