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Quality monitoring and prognostic of electronics using multidimensional time series method

  • Beijing Technology and Business University

科研成果: 期刊稿件会议文章同行评审

摘要

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.

源语言英语
页(从-至)1029-1032
页数4
期刊Applied Mechanics and Materials
190-191
DOI
出版状态已出版 - 2012
活动3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012 - Guangxi, 中国
期限: 1 8月 20122 8月 2012

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