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