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Engineering Book from C.H.I.P.S.

Burn-In Testing
Its Quantification and Optimization
by Dimitri Kececioglu

Burn-In Testing offers one of the most effective methods of reliability screening at the component level.

Burn-In Testing includes:

  • Definitions, classifications, and test conditions
  • A review of failure patterns during burn-in
  • Seven general mathematical models including four bathtub curve models
  • A quick calculation approach for time determination
  • Representative cost models and burn-in time optimization
  • The bimodal mixed-exponential life distribution applied to quantify and optimize burn-in
  • The Mean Residual Life (MRL) concept applied to quantify and optimize burn-in
  • The Total Time on Test (TTT) transform and the TTT plot applied to quantify and optimize burn-in
  • Accelerated testing and its quantification
  • A roadmap for practical applications

Contents

  1. Burn-in Definitions, Classifications, Documents and Test Conditions
  2. Frequently Encountered Terminologies and Acronyms in Burn-in Testing
  3. Phenomenological Observations and the Physical Insight of the Failure Process During Burn-in
  4. Math Models Describing the Failure Process During Burn-in and Their Parameters' Estimation
  5. Burn-in Time Determination Using a Quick Calculation Approach
  6. Burn-in Time Determination Based on The Bimodal Times-to-Failure Distribution
  7. Mean Residual Life Concepts and its Applications to Burn-in Time Determinations
  8. Burn-in Time Determination for the Minimum Cost
  9. Burn-in Quantification and Optimization Using the Bimodal Mixed-Exponential Distribution
  10. The Total-Time-on-Test Transform and its Application to Burn-in Time-Determination
  11. Accelerated Burn-in Testing and Burn-in Time Reduction Algorithms
  12. Accelerated Burn-in Using Temperature Cycling
  13. Guidelines for Burn-in Quantification and Optimum Burn-in Time Determination

Index

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Burn-In Testing
Its Quantification and Optimization
by Dimitri Kececioglu

2002 • 670 pages • $93.50 + shipping
Texas residents please add 6.75 % sales tax

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