本文選題：飛機整體驅(qū)動發(fā)電機　切入點：數(shù)據(jù)挖掘　出處：《云南大學學報(自然科學版)》2016年06期 　論文類型：期刊論文

【摘要】：針對飛機整體驅(qū)動發(fā)電機故障診斷過程中的故障多源、診斷決策復雜的問題,從數(shù)據(jù)挖掘角度出發(fā),引用變精度粗集模型處理診斷信息系統(tǒng).利用對象集定義的二元關(guān)系和依賴空間給出了變精度粗糙集的β下近似協(xié)調(diào)集的判定定理,通過確定近似分類質(zhì)量γ判斷β取值范圍并構(gòu)造下近似分布表,提出了一種決策規(guī)則中β下近似屬性約簡的整體驅(qū)動發(fā)電機故障診斷決策.通過實際發(fā)電機輸出故障信號診斷流程約簡后得到?jīng)Q策系統(tǒng),利用粗集中右邊界域的準確度和覆蓋度驗證該方法的有效性和小樣本情況下得到?jīng)Q策方法的普適性.
[Abstract]:In view of the problems of multi-source fault diagnosis and complicated decision making in the process of fault diagnosis of the whole aircraft driven generator, this paper starts from the angle of data mining. The variable precision rough set model is used to deal with diagnosis information system. By using the binary relation and dependency space defined by object set, the judgement theorem of 尾 lower approximation concordant set of variable precision rough set is given. By determining the approximate classification quality 緯 to determine the range of 尾 values, the approximate distribution table is constructed. In this paper, a decision for fault diagnosis of the whole driven generator is presented, in which the 尾 -lower approximation attribute reduction is used. The decision system is obtained by the reduction of the diagnosis process of the actual generator output fault signal. The accuracy and coverage of the right boundary region of the rough set are used to verify the validity of the method and the universality of the decision method is obtained in the case of small samples.
【作者單位】： 中國民航大學電子信息與自動化學院;
【基金】：國家自然科學基金(51177099;51407185) 中央高�？蒲谢�(3122013D002)
【分類號】：V267;TP311.13
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本文編號：1626691