信息技术与信息化
信息技術與信息化
신식기술여신식화
Information Technology & Informatization
2015年
6期
240-243
,共4页
模式识别与智能系统%特征权重%故障诊断%PCA
模式識彆與智能繫統%特徵權重%故障診斷%PCA
모식식별여지능계통%특정권중%고장진단%PCA
pattern recognition and intelligent system%feature weight%fault diagnosis%PCA
基于主元分析法的故障诊断过程,提出了一种新的特征权重计算方法.首先利用现有数据离线建立主元模型,然后输入监测数据在线进行故障诊断,根据故障诊断结果,分析故障点处各特征的特征权重.经实验验证,该方法有效.
基于主元分析法的故障診斷過程,提齣瞭一種新的特徵權重計算方法.首先利用現有數據離線建立主元模型,然後輸入鑑測數據在線進行故障診斷,根據故障診斷結果,分析故障點處各特徵的特徵權重.經實驗驗證,該方法有效.
기우주원분석법적고장진단과정,제출료일충신적특정권중계산방법.수선이용현유수거리선건립주원모형,연후수입감측수거재선진행고장진단,근거고장진단결과,분석고장점처각특정적특정권중.경실험험증,해방법유효.
In this paper, a new feature weight algorithm is proposed, which is based on fault diagnosis using PCA. Firstly, PCA model is established based on existing data offline. Secondly, we can input monitoring data online for fault diagnosis. Lastly, according to the results of fault diagnosis, the weight of each feature on fault point can be get. Experimental results show that the algorithm is effective.
