Accelerated life test is currently the main method of assessing product reliability rapidly, and the design of efficient test plans is a critical step to ensure that accelerated life tests can assess the product reliability accurately, quickly and economically. In these tests, the samples are tested at stress levels higher than normal. Then, the product life at the normal stress level can be estimated by extrapolating the life information of samples at high stress levels to the normal level based on the stress–life relationship. In this paper, optimal k-level step-stress accelerated life tests are considered for the Weibull failure data under progressive Type-I censoring. There are two strategies for performance inspection of the test unit, which include continuous inspection and periodic inspection. These two strategies generate the life data and group data, respectively. In this paper, these two inspection modes are compared and the efficiencies of these are obtained. This paper investigates the optimal design based on five optimality criteria under the constraint that the total experimental cost does not exceed a pre-specified budget. Finally, based on the simulation study and a real data set, the advantages of using the continuous inspection relative to periodic inspection are investigated.

中文翻译：

---

步进应力测试中连续和定期检查的比较

加速寿命试验是目前快速评估产品可靠性的主要方法，设计高效的试验方案是确保加速寿命试验能够准确、快速、经济地评估产品可靠性的关键步骤。在这些测试中，样品在高于正常水平的压力水平下进行测试。然后，通过基于应力-寿命关系将高应力水平样品的寿命信息外推到正常水平，可以估计正常应力水平下的产品寿命。在本文中，最优k在渐进式 I 型删失下，考虑对 Weibull 失效数据进行级阶跃应力加速寿命测试。测试单元的性能检查有两种策略，包括连续检查和定期检查。这两种策略分别生成生命数据和组数据。在本文中，这两种检查模式进行了比较，并获得了它们的效率。本文研究了在总实验成本不超过预先指定预算的约束下基于五个最优性标准的优化设计。最后，基于模拟研究和真实数据集，研究了使用连续检查相对于定期检查的优势。