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Quality Monitoring and Prognostic of Electronics Using Multidimensional Time Series Method

机译:采用多维时间序列方法的质量监测和预后

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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:本文介绍了通过监测劣化路径评估电子质量的质量监测和预后方法。 电子多种性能参数劣化数据被视为多维时间序列,并使用多维时间序列模型描述,以考虑环境变量随机性的实施,并预测性能下降的长期趋势。 为某些电子设备处理了降解测试,并监测了三种性能参数进行预后数据的降解数据。 处理了使用多维时间序列分析的预测劣化路径的比较,处理了使用一维时间序列分析的预测的降级路径和电子设备的实际劣化路径,结果表明使用建议方法的劣化路径预测更有效 比一维时间序列分析。

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