數(shù)據(jù)挖掘分類方法在沖擊譜試驗(yàn)中的應(yīng)用

Application of classification analysis of data mining in shock spectrum test

摘要: 沖擊譜試驗(yàn)隨機(jī)性強(qiáng)，難度較大。文章利用數(shù)據(jù)挖掘中分類方法提取數(shù)據(jù)背后隱藏的有用知識(shí)，通過數(shù)據(jù)預(yù)處理、構(gòu)建沖擊譜試驗(yàn)數(shù)據(jù)倉(cāng)庫(kù)、決策樹分析、評(píng)估比較，最終總結(jié)出一套針對(duì)不同產(chǎn)品、不同試驗(yàn)工況的沖擊譜試驗(yàn)調(diào)試方法。這可為以后產(chǎn)品的沖擊環(huán)境試驗(yàn)提供有力的技術(shù)支持，進(jìn)一步提高沖擊譜試驗(yàn)的質(zhì)量和試驗(yàn)中產(chǎn)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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