SFFS631A May   2023  – May 2024 TPS389006-Q1

PRODUCTION DATA  

  1.   1
  2.   Trademarks
  3. 1Introduction
  4. 2Hardware Component Failure Modes Effects and Diagnostics Analysis (FMEDA)
    1. 2.1 Random Fault Estimation
      1. 2.1.1 Fault Rate Estimation Theory for Packaging
      2. 2.1.2 Fault Estimation Theory for Silicon Permanent Faults
      3. 2.1.3 Fault Estimation Theory for Silicon Transient Faults
      4. 2.1.4 The Classification of Failure Categories and Calculation
    2. 2.2 Using the FMEDA Spreadsheet Tool
      1. 2.2.1 Mission Profile Tailoring Tab
        1. 2.2.1.1 Confidence Level
        2. 2.2.1.2 Geographical Location
        3. 2.2.1.3 Life Cycle
        4. 2.2.1.4 Use Case Thermal Management Control (Theta-Ja) and Use Case Power
        5. 2.2.1.5 Safe vs Non-Safe (Safe Fail Fraction) for Each Component Type
        6. 2.2.1.6 Analog FIT Distribution Method
        7. 2.2.1.7 Operational Profile
      2. 2.2.2 Pin Level Tailoring Tab
      3. 2.2.3 Function and Diag Tailoring Tab
      4. 2.2.4 Diagnostic Coverage Tab
      5. 2.2.5 Customer Defined Diagnostics Tab
      6. 2.2.6 Totals - ISO26262 Tab
      7. 2.2.7 Details - ISO26262 Tab
      8. 2.2.8 Totals - IEC61508 Tab
      9. 2.2.9 Details - IEC61508 Tab
    3. 2.3 Example Calculation of Metrics
      1. 2.3.1 Assumptions of Use for Calculation of Safety Metrics
      2. 2.3.2 Summary of ISO 26262 Safety Metrics at Device Level
  5. 3Revision History

2.2.1.1 Confidence Level

The confidence level field sets the probability that the data calculated in the FMEDA spreadsheet will fall within the specified range of values. In short, the higher the confidence level, the more conservative the data. The user may scale this confidence level, to match the FIT calculation for other components in their system. The lower the confidence level, the smaller the raw (base) FIT rate will be. TI gives the user the ability to adjust the permanent FIT confidence level separately from the transient FIT confidence level.