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Optimal design of ALT plans based on proportional hazards models
Hao Zhang
,
Elsayed A. Elsayed
School of Engineering, Industrial Engineering
Research output
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Contribution to conference
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Paper
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peer-review
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Dive into the research topics of 'Optimal design of ALT plans based on proportional hazards models'. Together they form a unique fingerprint.
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Keyphrases
Proportional Hazards Model
100%
R(t)
100%
Plan-based
100%
Stress Level
72%
Reliability Estimation
45%
Design Stress
36%
Test Unit
36%
Accelerated Life Test
27%
Asymptotic Variance
27%
Product Lifetime
18%
Minimum number
18%
Log-likelihood Ratio
18%
Failure number
18%
I to
9%
Cox Proportional Hazards Model
9%
Parameter Estimation
9%
Optimization Problem
9%
Product Performance
9%
Failure Mechanism
9%
Parameter Values
9%
Single Stress
9%
Testing Conditions
9%
Three-level
9%
Optimal Decision
9%
Linear Constraints
9%
High Stress
9%
Reliability Function
9%
Failure Time Data
9%
Failure Time
9%
Test Size
9%
Constant Stress
9%
Maximum Likelihood Estimation
9%
Optimization Criterion
9%
Decision Variables
9%
Baseline Hazard Function
9%
Stress Testing
9%
Variance-covariance Matrix
9%
Nonlinear Objective Function
9%
Optimal Criteria
9%
Nonlinear Constraints
9%
ML Estimate
9%
Design Condition
9%
Cumulative Hazard Function
9%
Fisher Information Matrix
9%
Unit Testing
9%
Type-I Censoring
9%
Life Test Plan
9%
Mathematics
Optimal Design
100%
Proportional Hazards Model
100%
Stress Level
100%
Test Unit
57%
Minimizes
42%
Periodic Time
42%
Asymptotic Variance
42%
Life Test
42%
Failure Time
28%
Objective Function
28%
Exp
28%
Hazard Function
28%
Log Likelihood Function
28%
Parameter Estimate
14%
Optimal Decision
14%
Cox Proportional Hazards Model
14%
Variance Covariance Matrix
14%
Unit Test
14%
Unit Time
14%
Optimal Criterion
14%
Fisher Information Matrix
14%
Decision Variable
14%
Maximum Likelihood Estimate
14%