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Quality Monitoring and Prognostic of Electronics Using Multidimensional Time Series Method

机译:使用多维时间序列方法的电子产品质量监控和预测

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This paper presents a quality monitoring and prognostic method to evaluating quality of electronics through monitoring degradation path.Electronics multiple performance parameter degradation data are treated as multidimensional time series and described using multidimensional time series model to take into account implements of stochastic nature of environmental variables and to predict long-term trend of performance degradation.A degradation test is processed for certain electronics and three kinds of performance parameters degradation data are monitored for prognostics.A comparison between the predicted degradation path using multidimensional time series analysis, the predicted degradation path using one-dimensional time series analysis and the real degradation path of the electronics is processed and the results show that the degradation path prediction using the suggested method is more effective than one-dimensional time series analysis.
机译:本文提出了一种通过监测退化路径来评估电子产品质量的质量监测和预测方法。将电子多性能参数退化数据视为多维时间序列,并使用多维时间序列模型进行描述,以考虑环境变量和变量的随机性的实现。预测性能退化的长期趋势。对某些电子设备进行退化测试,并监视三种性能参数退化数据以进行预测。使用多维时间序列分析的预测退化路径与使用多维时间序列分析的预测退化路径之间的比较对三维时间序列分析和电子产品的实际退化路径进行了处理,结果表明,所建议的方法对退化路径的预测比一维时间序列分析更为有效。

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