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Optimization of Exponential distribution Testing Period Based on Reliability Degradation

机译:基于可靠性劣化的指数分布测试时期优化

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For high reliability and long-life equipments, regular test on their performance is an effective approach to keep a fine status during the whole life. Because the number of failures increases with the duration of service, it is very important to use a rational testing strategy with unequal testing period instead of equal testing period. If testing period is not suitable, failure cannot be timely found and repaired, early failure or accident may occur. Reliability detection strategy of exponential distribution products is studied. And for every testing period, on the basis of the assumption that products should be tested when the rate of reliability deterioration reaches a certain value, an equal reliability degradation model on testing period is discussed. Furthermore, according to the idea that environment and personnel factors can lead to characteristic deterioration of products, a mathematical model of testing period incorporating reliability, failure rate, cost and testing efficiency is proposed. As the objective function of minimum cost and constraint functions of reliability and testing interval, an optimization model of unequal testing period is put forward. The optimization model is much better than traditional equal testing interval model in maintenance reliability lifetime, for it conforms to the reality that testing period must be shorten when the reliability degrades.
机译:对于高可靠性和长寿命设备,定期测试其性能是一种有效的方法,可以在整个生命中保持良好状态。由于失败的数量随着服务期间的增加而增加,因此使用具有不等的测试期而不是相同的测试期间的合理测试策略非常重要。如果测试期不适合,则无法及时发现并修复失败,可能会发生早期失败或事故。研究了指数分布产品的可靠性检测策略。并且对于每个测试期,在该假设的基础上,当可靠性劣化率达到一定值时,讨论了对测试时段的等可靠性降级模型。此外,根据环境和人员因素可以导致产品的特征恶化,提出了一种具有可靠性,故障率,成本和测试效率的测试期的数学模型。作为可靠性和测试间隔的最小成本和约束函数的目标函数,提出了不等检测期的优化模型。优化模型比传统的维护可靠性寿命中的传统等测试间隔模型好得多,因为它符合测试时期在可靠性降低时必须缩短的现实。

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