设计疲劳试验,提高液晶显示器的可靠性

B. Scibilia, A. Kobi, R. Chassagnon, A. Barreau
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引用次数: 3

摘要

本文的目的是展示如何使用统计设计的实验来提高可靠性。对液晶显示器(lcd)进行了环境压力测试,以确定可以延长其使用寿命的参数设置。在其使用寿命期间,lcd连接到电子设备并插入机箱中。它们用于在商业飞行中向飞行员显示测量结果。典型的故障时间是飞行4000小时这被认为不够长。实验的设计为检验最有可能的假设是否正确提供了机会。在测试过程中,降解率被用作响应。采用两个重叠的2/sup / 2/正交设计研究了三个因素的影响。距离测试lcd 2.5米的强力聚光灯被用来模拟降解率。其中一个因素被发现可以显著降低降解率,从而大大增加产品的使用寿命。更一般地说,我们建议在可靠性试验设计中使用退化函数的斜率作为响应。这样做的好处是,响应是正态分布的,当数据被正确审查时,它不会像记录故障时间那样引起那么多问题。缺点是需要定期监测产品的退化,直到对退化率有一个准确的估计,而且退化函数可能不是线性的,因此需要进行数据转换。
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Designed fatigue experiments to improve the reliability of liquid crystal displays
The objective of this paper is to show how reliability improvement may be achieved using statistically designed experiments. Environmental stress testing has been performed on liquid crystal displays (LCDs) to identify the parameter settings that allow an increase in their lifetime. During their operating life, the LCDs are connected to electronic devices and are inserted into cases. They are used to display measurements to aircraft pilots during commercial flights. Typically the failure time was 4000 hours of flight which was considered not to be long enough. The design of experiments provided an opportunity to check whether the most likely hypothesis was correct. During the tests, degradation rates were used as a response. The effects of three factors were studied using two overlapped 2/sup 2/ orthogonal designs. A powerful spotlight located at 2.5 meters from the tested LCDs, was used to model the degradation rate. One of the factors was found to reduce dramatically the degradation rate, allowing a very substantial increase in the product lifetimes. More generally, we propose to use the slope of the degradation function as a response in designs of experiments for reliability. The advantages of doing this are that the responses are normally distributed and when the data are right censored, it does not cause as many problems as when failure times are recorded. The drawback is that the product degradation needs to be periodically monitored until an accurate estimate of the degradation rate is available, moreover the degradation function may not be linear so that a data transformation is required.
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