广义线性模型在优化生产应力测试中的应用

B. Honari, J. Donovan, T. Joyce, S. Wilson
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引用次数: 7

摘要

在制造过程中采用加速环境压力测试(EST),通过沉淀和检测潜在缺陷来提高可靠性。该测试代表了过程中的制造筛选,执行它的目标是避免降低客户满意度并增加保修和补偿成本的早期现场故障。EST期间的温度循环是最常用的测试程序之一。虽然这是一个昂贵和能源密集的过程,通常最初建议对新产品进行长时间的测试。根据产品测试性能或可能的制造工艺修改,测试持续时间和制度可能在一段时间后改变。即使测试周期的数量减少了,EST仍然是一个昂贵的测试和主要的过程瓶颈。本文采用广义线性模型(GLM)研究了产量和EST测试变量对被测群体的影响。拒绝单元的数量和失败的时间都可以建模为代表测试环境的协变量的回归函数。现场可靠性函数被写成测试剖面中每个部分(如驻留、斜坡等)的无条件可靠性的乘积。下一步是将温度循环EST - GLM的结果应用于数学成本模型。该成本模型既包括测试成本,也包括早期现场故障的保证和补偿成本。结合GLM和成本模型,确定了使总成本最小的最优测试方案和周期数。通过这种方式,可以根据现场可靠性/测试成本的权衡来优化生产测试制度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of generalized linear models for optimizing production stress testing
Accelerated environmental stress tests (EST) are applied during the manufacturing process to improve reliability by precipitating and detecting latent defects. This test represents an in-process manufacturing screen and the objective of performing it is to avoid early field failures that reduce the customer satisfaction level and increase warranty and compensation costs. Temperature cycling during EST is one of the most commonly used test procedures. Although it is an expensive and energy intensive procedure, usually a lengthy test is initially recommended for a new product. Based on the product test performance or a possible manufacturing process modification, the test duration and regime may be changed after some period. Even if the number of test cycles is reduced, EST continues to be an expensive test and a major process bottleneck. This paper uses generalized linear modeling (GLM) to investigate the effects of the production and EST test variables on the population under test. Both the number of units rejected and the time to failure can be modeled as a regression function of covariates representative of the test environment. The field reliability function is written as a product of the unconditional reliability in each segment of the test profile such as dwell, ramp, etc. The next step is to apply the result of the temperature cycle EST GLM to a mathematical cost model. This cost model includes both the test cost and the warranty and compensation costs of the early field failures. The optimum test regime and number of cycles, which minimizes the total cost is determined by combining the GLM and the cost model. In this way the production test regime can be optimized in terms of field reliability/test cost trade-off.
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