SLOA294A June   2020  – April 2024 TPS3851-Q1 , TPS7A16A-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. Introduction
  5. Types of Faults and Quantitative Random Hardware Failure Metrics
  6. Random Failures Over a Product Lifetime and Estimation of BFR
  7. BFR Estimation Techniques
  8. Siemens SN 29500 FIT model
  9. IEC TR 62380
  10. Recommended Assumptions for BFR Calculations
  11. Special Considerations for Transient Faults
  12. BFR Differences (Due to Package) Between IEC TR 62380 and SN 29500
  13. 10Effect of Power-on Hours on BFR
  14. 11What Can You Expect for TI Products
  15. 12Summary
  16. 13References
  17. 14Revision History

BFR Estimation Techniques

Various techniques exist for estimating BFR: experimental, derived from field observations of incidents and customer returns/field failures, or an estimation based on industry-accepted reliability guides coupled with some engineering judgment.

Here are a few examples of empirical techniques; however, these only account for intrinsic (silicon) failures and disregard the contribution from silicon and package interactions:

  • Temperature bias operating life test
  • High-temperature operating life test
  • Extended life reliability test

Field observations, conversely, require accurate and extensive record keeping, and this is not available when a new product is introduced to market. Additionally, many semiconductor manufacturers do not receive all of the customer returns, making it impossible to meet the requirement for accurate and extensive records to estimate BFR.

The following industry reliability guides can provide a estimation for functional safety analysis:

  • IEC technical report (TR) 62380(3) and IEC 61709(5)
  • SN 29500, the Siemens AG standard for the reliability prediction of electronic and electromechanical components
  • FIDES such as a military handbook or other documentation from a credible source

The remainder of this paper focuses on the use of IEC TR 62380 and SN 29500 to estimate BFR.