1 Introduction
2 Statistical Model of the Electrical Connectors
3 Design Principle for the PCCSALT Plan
3.1 Stress Loading
3.2 Test Design Criterion
3.3 Test Plan Optimization Criterion
3.4 Estimation Method
4 Statistical Analysis Method for Designing the Plan
4.1 Sample Likelihood Function from a Constant Stress
4.2 PSALT Theory and Statistical Analysis Method
4.2.1 PSALT Theory
4.2.2 Sample Likelihood Function from the Progressive Stress
4.3 Sample Likelihood Function
4.4 Information and Covariance Matrix
4.5 Estimate of the Function Variance
5 Model for Designing the Optimal Plan
5.1 Objective Function
5.2 Design Variables
5.3 Constraints
5.4 Sample Size
6 Optimal Design of the Electrical Connectors PCCSALT Plan
6.1 Test Parameters
6.1.1 Temperature Stress
6.1.2 Censored Time
6.1.3 Parameter Estimators for the Statistical Model
6.2 Optimal Results
Stress type | Stress \(\xi\), Temperature T (K) | Stress change rate α (h−1) | Sample allocation proportion π | Censored time t (h) | Variance factor V |
---|---|---|---|---|---|
Progressive | 0.3048, 322.26 | 2.5298 × 10−4 | 0.7000 | 1000 | 23.6837 |
Constant | 1, 436.15 | – | 0.3000 |
No. | Stress \(\xi\), Temperature T (K) | Sample allocation proportion π | Censored time t (h) | Sample size n | Variance factor V |
---|---|---|---|---|---|
1 | 0.4313, 338.45 | 0.7 | 1000 | 40 | 24.1501 |
2 | 1, 436.15 | 0.3 |