冯雪梅, 卢来洁, 马爱军, 刘洪英. 数据挖掘分类方法在冲击谱试验中的应用[J]. 航天器环境工程, 2008, 25(1): 41-43
引用本文: 冯雪梅, 卢来洁, 马爱军, 刘洪英. 数据挖掘分类方法在冲击谱试验中的应用[J]. 航天器环境工程, 2008, 25(1): 41-43
Feng Xuemei, Lu Laijie, Ma Aijun, Liu Hongying. Application of classification analysis of data mining in shock spectrum test[J]. Spacecraft Environment Engineering, 2008, 25(1): 41-43.
Citation: Feng Xuemei, Lu Laijie, Ma Aijun, Liu Hongying. Application of classification analysis of data mining in shock spectrum test[J]. Spacecraft Environment Engineering, 2008, 25(1): 41-43.

数据挖掘分类方法在冲击谱试验中的应用

Application of classification analysis of data mining in shock spectrum test

  • 摘要: 冲击谱试验随机性强,难度较大。文章利用数据挖掘中分类方法提取数据背后隐藏的有用知识,通过数据预处理、构建冲击谱试验数据仓库、决策树分析、评估比较,最终总结出一套针对不同产品、不同试验工况的冲击谱试验调试方法。这可为以后产品的冲击环境试验提供有力的技术支持,进一步提高冲击谱试验的质量和试验中产品的安全性。

     

    Abstract: Shock spectrum tests are stochastic in nature and difficult to analyze. The classification analysis in data mining aims to identify useful information from test data by data preprocessing, building data warehouse of the shock spectrum test, decision tree analysis and comparing the results of evaluation. The methods for debugging shock spectrum tests are proposed for different products and test cases, to provide a powerful technology support and improve the quality and safety of products in shock spectrum tests.

     

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