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Summary
This summary is machine-generated.

Revising power-law time plotting improves microelectronics reliability predictions. New methods ensure accurate extrapolation of time-to-fail data, avoiding overly optimistic or pessimistic results from current techniques.

Keywords:
TTFextrapolationplottingpower-lawtime domaintime to fail

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Reliability Engineering

Background:

  • Current microelectronics reliability analysis often uses power-law time plotting.
  • This method assumes degradation follows a power-law, extrapolating time-to-fail based on initial parameter values (S0).
  • Inaccurate S0 values can lead to significantly exaggerated or underestimated lifetime predictions.

Purpose of the Study:

  • To reexamine and improve power-law time plotting for reliability prediction.
  • To develop a more accurate method for extrapolating time-to-fail in microelectronics.
  • To address the limitations of current methods that rely heavily on precise initial indicator values.

Main Methods:

  • Transforming the x-axis to time raised to the power of 1/m.
  • Determining the exponent 'm' by setting the second-order term of a polynomial fit to zero.
  • Utilizing a linear fit to a second-order polynomial to find the correct time power.

Main Results:

  • The proposed transformation yields more accurate reliability predictions.
  • Achieved realistic time-to-fail estimations under accelerated testing conditions.
  • Demonstrated an empirical method for data plotting independent of specific physical models.

Conclusions:

  • The revised plotting principles offer a more robust approach to microelectronics reliability analysis.
  • Accurate power-law exponent determination is crucial for reliable lifetime predictions.
  • This empirical method enhances the predictability of component lifespan based on degradation data.