软件
軟件
연건
SOFT WARE
2014年
2期
35-36,40
,共3页
李东辉%李颖%何辉利%郭小强%程竹元%周熙晨%赵振勇
李東輝%李穎%何輝利%郭小彊%程竹元%週熙晨%趙振勇
리동휘%리영%하휘리%곽소강%정죽원%주희신%조진용
数据挖掘%属性约简%电力牵引%故障诊断
數據挖掘%屬性約簡%電力牽引%故障診斷
수거알굴%속성약간%전력견인%고장진단
data mining%attribute reduction%electric traction%fault diagnosis
针对铁道牵引供电系统故障诊断中的复杂信息,构建关系数据表,基于近似约简方法建立故障诊断模型,以快速地对可能发生的故障进行预测、判断和处理,从而有效地保障铁道运输安全,提高运输效率。首先,从牵引变电所的变配电设备和接触网供电系统处共收集34路信号,作为数据挖掘的输入量;其次,利用近似约简算法构建铁道牵引供电系统故障诊断模型,从数据离散化,近似约简、故障预测方面进行了详细介绍;最后,通过实例说明了这种方法的有效性,从而对正确预测设备性能和故障状态起到积极的指导作用。
針對鐵道牽引供電繫統故障診斷中的複雜信息,構建關繫數據錶,基于近似約簡方法建立故障診斷模型,以快速地對可能髮生的故障進行預測、判斷和處理,從而有效地保障鐵道運輸安全,提高運輸效率。首先,從牽引變電所的變配電設備和接觸網供電繫統處共收集34路信號,作為數據挖掘的輸入量;其次,利用近似約簡算法構建鐵道牽引供電繫統故障診斷模型,從數據離散化,近似約簡、故障預測方麵進行瞭詳細介紹;最後,通過實例說明瞭這種方法的有效性,從而對正確預測設備性能和故障狀態起到積極的指導作用。
침대철도견인공전계통고장진단중적복잡신식,구건관계수거표,기우근사약간방법건립고장진단모형,이쾌속지대가능발생적고장진행예측、판단화처리,종이유효지보장철도운수안전,제고운수효솔。수선,종견인변전소적변배전설비화접촉망공전계통처공수집34로신호,작위수거알굴적수입량;기차,이용근사약간산법구건철도견인공전계통고장진단모형,종수거리산화,근사약간、고장예측방면진행료상세개소;최후,통과실례설명료저충방법적유효성,종이대정학예측설비성능화고장상태기도적겁적지도작용。
Railway traction power supply system troubleshooting complex information , data tables to build relationships to establish fault diagnosis model based on approximate reduction methods to quickly to predict failure may occur , judgment and treatment, so as to effectively protect the rail transport safety , improve transport efficiency. First, from the traction substation power distribution equipment and catenary power system collected a total of 34 signals, input as data mining;Secondly, approximate reduction algorithm to construct railway traction power supply system fault diagnosis model , data from discrete technology , approximate reduction , fault prediction are described in detail;Finally, an example to illustrate the effectiveness of this approach , and thus correctly predict device performance and fault status play an active role in guiding .