Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1029-1032 |
| Number of pages | 4 |
| Journal | Applied Mechanics and Materials |
| Volume | 190-191 |
| DOIs | |
| State | Published - 2012 |
| Event | 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012 - Guangxi, China Duration: 1 Aug 2012 → 2 Aug 2012 |
Keywords
- Electronics
- Multidimensional Time Series
- Prognostic
- Quality Monitoring
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